Total 9,494 data entry job vacancies in Singapore

Seeking skilled and motivated Intermediate Data Engineer to join our dynamic team.

Industry: Banking Industry

Min 5yrs Data Engineer work experience

Work Location: Changi Business Park

The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.
• Locals to apply

NOTE : Interested applicants, Pls send CV to [email protected] (ES Recruitment Pte Ltd 09C4235, R1103307 Hong Mei Lin)

Summary:

We are looking for a highly skilled and passionate Senior Data Scientist to join our dynamic team in Singapore. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and generative AI applications. In this role, you will drive data-driven decision-making, develop innovative solutions, and contribute to projects that enhance our products and services.

Reporting directly to the Chief Scientist, you will be part of a supportive team that values passion and collaboration. This fast-paced journey promises both excitement and fulfillment.

Responsibilities:

• Develop genAI-based solutions that involve LLM, RAG, image-related algorithms, etc
• Provide fully customized user experience, including recommender, search, or other classification and regression tasks
• Design, develop, and implement advanced analytical models and algorithms to solve complex business problems.
• Analyze large datasets to extract insights, identify trends, and support data-driven decision-making.
• Collaborate with cross-functional teams, including product managers, engineers, and stakeholders, to understand business needs and deliver actionable insights.
• Lead the end-to-end data science process, from data collection and cleaning to model deployment and monitoring.
• Communicate findings and recommendations effectively to both technical and non-technical audiences through visualizations and presentations.
• Mentor and guide junior data scientists and analysts in best practices and methodologies.
• Stay up-to-date with the latest developments in data science, machine learning, and AI to continually enhance team capabilities.

Requirements:

• Master’s in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in data science, machine learning, or a related role
• Proficiency in programming languages such as Python, R, or SQL
• Experience with optimization techniques (e.g., linear programming, convex optimization)
• Strong understanding of statistical analysis and data modeling techniques
• Familiarity with large-scale software engineering (e.g., Hadoop, Spark) is a plus
• Excellent problem-solving skills and ability to work independently and collaboratively
• Strong communication skills, with the ability to present complex concepts to a diverse audience

Main Responsibilities

• Being part of a team of data scientists to build, deploy and monitor AI/ML models to generate values for the business.
• Manage key stakeholders’ expectations, set project directions, timeline, and deliverables.
• Ideate and design solutions for process re-engineering to embed the AI/ML model into business processes.
• Experimental design to attribute value contribution of data science models.
• Research and development on new tools and evaluate bringing it into client’s tech stack.
• Create a high-performing team culture and keep up to date with latest developments in data science.

Qualifications & Experience

• Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or relevant fields.
• Masters in Statistics or any quantitative analytics or equivalent professional qualification.
• At least 2 – 5 years of relevant experience in financial services industry, understand drivers of business and able to apply data solution to deliver desirable outcomes.
• Individual should have experience in dealing with large customers’ data set, able to generate insights from complex analysis and models and communicate effectively to stakeholders.
• Individual should have a track record of building and deploying data science models that have a measured value contribution to the business.
• Individual should have insurance domain knowledge.
• Individual should have experience in leading a small team.
• Proficient in AWS, Snowflake, Airflows, SageMeta (AWS ML).

As a Data Analyst (Risk), you will be involved in supporting the risk operations by conducting data analysis of risk cases to discover risk trends and behavior patterns from big data sets, thereafter being involved in designing long-term solutions to fight fraud. The insights you provide will be optimizing risk strategies to create business value and enable trust for our clients.

• Analysis of rich user and transaction data to uncover device, user, transaction, etc. trends that help alert SHIELD's risk systems and contribute to fraud prevention mechanisms
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis and developing strategic fraud rules to address them
• Perform data/statistical analysis to keep processes at the forefront of fraud detection by identifying areas of potential fraud risk and/or potential opportunities to improve current fraud mechanisms
• Develop and communicate insights and recommended actions to stakeholders to manage risk by contributing toward machine learning models, and risk management principles to help clients trust their users by staying ahead of new and unknown fraud
• Build and maintain dashboards for all stakeholders to provide visibility of key metrics, fraud patterns, and detection efficiency

• 3-5 years of experience as a hands-on analyst in a high-tech company
• Minimum Bachelor Degree in Computer Science, Data Sciences, Statistics, Math, or other related fields
• Strong experience in handling large-scale unstructured data
• Experience in SQL or other data handling tools, as well as the ability to learn more advanced data
• Business intelligence experience using tools such as Tableau, Qlik Sense, and Excel
• Working experience with any of the data analysis tools such as R, Python, SPSS, SAS, etc.
• Experience with the application of experimentation and statistical techniques (i.e. hypothesis testing, probability distributions, regression, decision trees, etc.)
• Ability to take initiative in a fast-moving and dynamic environment, and take timely actions to prevent risk of fraud

Big Data Engineer – 1-year contract

We are seeking a seasoned Big Data Engineer with 10+ years of experience in Spark (Scala or PySpark) and Hive. The ideal candidate will have strong programming skills and a deep understanding of big data processing within the Hadoop ecosystem.

Key Responsibilities

• Design & Development: Lead the design, development, and performance tuning of Spark applications.
• Programming: Utilize Java, Scala, or Python for efficient coding and problem-solving.
• Big Data Tools: Work with various big data processing tools and techniques, including Airflow and Ctrl-M.
• Distributed Systems: Apply your knowledge of distributed systems to enhance data processing efficiency.
• Database Knowledge: Leverage experience with RDBMS, data warehouses, and Unix shell scripting.

Qualifications

• Experience: 10+ years in big data technologies, with extensive knowledge of Spark and Hive.
• Skills: Strong analytical and problem-solving capabilities.
• Ecosystem Familiarity: Proficient in the Hadoop ecosystem and big data processing methodologies.

About the role

• Plan, execute, and oversee ETL processes, data modeling, and integration efforts. Ensure data accuracy, integrity, and accessibility by implementing rigorous data governance practices.
• Conduct comprehensive analysis of company data to identify trends, reveal hidden patterns, and provide actionable insights to inform business strategies and decisions.
• Collaborate closely with various departments to understand their data needs and challenges, offering expert guidance and analytics solutions that support both departmental and organizational objectives.
• Monitor data pipelines, databases, and analytical operations to ensure their consistent performance, promptly identifying and resolving any data-related issues or performance bottlenecks.
• Stay informed on the latest developments and best practices in data engineering, recommending and implementing enhancements to improve data quality, operational efficiency, and overall performance.
  
  Skills and experience required

Minimum Bachelor’s degree in Computer Science or equivalent

• Proficient in SQL and at least one programming language (Python, C++, or R) for advanced data analysis and engineering tasks.
• Knowledge of snowflake, dexter, AWS environment is ideal
• Experienced in pipelines, ETL, and transformation tools.
  • Background in a brokerage firm is an advantage.

To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)

Department Overview

ISAP IT Production Centre is an offshore delivery center managing IT Operations (RUN) for Paris, London and Asia. With over 250 people, it constitutes one of two main hubs for the company's IT production teams. This setup is operated in partnership with a Service Provider, who provides most resources on site.

ISAP IT Production Centre is split in 4 departments covering the following aspects:

• INFRA: core infrastructure- systems and network services
• APS: application technical support
• Middleware: Data services and Middleware services
• End-user & Transverse: End-user Services and Transversal activities, including Control Tower, Global Operations Center and Data Security Services.

Position

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of the company in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident, Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Qualifications and Profile

Functional

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;
• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;
• Excellent in analytical, communication and documentation skills;
• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;
• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;
• Ability to work independently and as well as a part of team and is able to work under minimal supervision;
• Should have time management skills and able to manage work in fast moving environment;
• Excellent written and oral English language skills;
• Knowledge of French language is preferred.

Technical

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified is highly preferred
• Symantec Certified Expert: Administration of Data Loss Prevention (any version) is highly preferred.
• Must be experienced to cover the scope as mentioned in the SKILLS MATRIX section of this document.

Technical skills

• Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise): Good to have
• Database Access Monitoring: Good to have
• Symantec Endpoint Protection (Anti-Virus): Good to have
• Microsoft Defender Suite: Good to have
• Email Security: Knowledge
• Python, Regular Expression, Powershell: Knowledge

General skills

• Ability to prioritize effectively: Must to have
• Ability to work autonomously: Must to have
• Ability to work successfully in a team: Must to have
• Adaptability to changing environments: Must to have
• Inter-personal skills: Must to have

Management skills

• Ability to deal with issues, time management: Critical
• Manage escalated incidents: Critical
• Capacity to cooperate / work across discipline: Critical
• Capacity to develop others: Desired

Language skills

• English: Critical
• French: Good to have

Work Schedule

• Required to work on Paris and/or New York and/or Asia time zone*, i.e. 2pm to 11pm/4pm to 1am (summer season) or 3pm to 12am/ 5pm to 2am (winter season), or in accordance to the planned time schedule as required. If necessary, you may also be required to start work earlier or to extend working hours.
• May be required to be available for on-call support during non-business hours and/or on weekends. Allowance is claimable for such hours.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

Perform Incident escalation (Ensure incidents are responded and attended to, else redirect to Ops Mgr. based on criticality, impact, and SLA).

Coordinate with various stakeholders to fix the technical issues on time to provide timely support to customers. Work with Team Lead/Ops Mgr. if required.

Provide Operation support during IRAS annual DR exercise.

• Supporting on the withdrawal of Account IDs.

• Supporting on the research of Software EOS/EOL.

Your new company

Be a part of a world’s leading tech company, engaging with exciting new technologies.

Your new role

We are looking for a Data Engineer who will join the L2 support squad responsible for platform administration, operational support, small change, and release management. The role will be part of a highly qualified team, primarily based in Singapore.

The role will cover the following areas:

· Release Management and Support activity (~60%):

· Assist the team with Production code deployment and data platform support.

· Act as a gatekeeper in Production following client's change management process.

· Support production data pipelines and reports.

· Provide detailed analysis of data issues in Production with a quick turnaround time

· On occasion, provide support for applications in Public Holidays and in weekend releases.

· Work closely with the L2 Squad Lead, prioritizing tasks based on L2 leads’ direction.

What you'll need to succeed

· 3–8 years of relevant experience in a support role, with experience using JIRA or similar tools to track issues and manage them through a small team.

· Develop high-quality data pipelines using Spark, Python, SQL, and Azure services.

· Strong proficiency in writing complex SQL Queries, Stored Procedures etc.

· Proficient in Python, or the ability to learn basic Python for the interview process.

· Experience with Azure or a willingness to learn and deepen knowledge of Azure platforms.

· Exposure to Azure Databricks, or an eagerness to gain experience working with Databricks.

· Understanding of Big Data, MapReduce, Spark, and file formats like Parquet, Avro, and ORC.

What you need to do now

If you're interested in this role, click 'apply now'.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D

Summary:

• The successful candidate will be involved in the data management aspect for the enterprise data distribution channel in Data Strategy Group.

Responsibilities:

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.
• Design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Identify opportunities for continuous improvement in assigned area of work.
• Possess a degree with at least 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

Requirements:

• Possess a degree with at least 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Department Overview

ISAP IT Production Centre is an offshore delivery center managing IT Operations (RUN) for Paris, London and Asia. With over 250 people, it constitutes one of two main hubs for the company's IT production teams. This setup is operated in partnership with a Service Provider, who provides most resources on site.

ISAP IT Production Centre is split in 4 departments covering the following aspects:

• INFRA: core infrastructure- systems and network services
• APS: application technical support
• Middleware: Data services and Middleware services
• End-user & Transverse: End-user Services and Transversal activities, including Control Tower, Global Operations Center and Data Security Services.

Position

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of the company in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident, Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• Is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• Ensures activity is performed in compliance with norms, standards, processes and procedures
• Gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• Ensures documentation is up to date and relevant for use
• Lead the continuous improvement initiatives
• Responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Qualifications and Profile

Functional

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;
• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;
• Excellent in analytical, communication and documentation skills;
• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;
• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;
• Ability to work independently and as well as a part of team and is able to work under minimal supervision;
• Should have time management skills and able to manage work in fast moving environment;
• Excellent written and oral English language skills;
• Knowledge of French language is preferred.

Technical

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified is highly preferred
• Symantec Certified Expert: Administration of Data Loss Prevention (any version) is highly preferred.
• Must be experienced to cover the scope as mentioned in the SKILLS MATRIX section of this document.

Technical skills

• Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise): Good to have
• Database Access Monitoring: Good to have
• Symantec Endpoint Protection (Anti-Virus): Good to have
• Microsoft Defender Suite: Good to have
• Email Security: Knowledge
• Python, Regular Expression, Powershell: Knowledge

General skills

• Ability to prioritize effectively: Must to have
• Ability to work autonomously: Must to have
• Ability to work successfully in a team: Must to have
• Adaptability to changing environments: Must to have
• Inter-personal skills: Must to have

Management skills

• Ability to deal with issues, time management: Critical
• Manage escalated incidents: Critical
• Capacity to cooperate / work across discipline: Critical
• Capacity to develop others: Desired

Language skills

• English
• Critical
• French
• Good to have

Work Schedule

• Required to work on Paris and/or New York and/or Asia time zone*, i.e. 2pm to 11pm/4pm to 1am (summer season) or 3pm to 12am/ 5pm to 2am (winter season), or in accordance to the planned time schedule as required. If necessary, you may also be required to start work earlier or to extend working hours.
• May be required to be available for on-call support during non-business hours and/or on weekends. Allowance is claimable for such hours.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

Location: Changi Business Park

Employment Type: 12 months agency contract

Salary: Up to S$6,500

Overview:

• We are seeking a Data Developer to create and implement mission-critical applications from the ground up. You will be involved in designing, developing, testing, and deploying new applications as part of our strategic transformation program. This role will utilize Agile methodologies, cloud technologies, microservices, and Big Data to drive innovation.

Key Responsibilities:

• Develop complex, transformative applications within dynamic and high-energy teams.
• Utilize the latest tools and techniques in software development.
• Engage in hands-on coding, often in a pair programming setting.
• Collaborate effectively with team members to produce high-quality code.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, and processes critical for implementing Risk and Finance models.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
• Proven hands-on experience with Spark, ScalaSpark, and distributed computing.
• 4-6 years of experience with Spark, ScalaSpark, Python, and Hadoop (Hive, HDFS).
• 4-6 years of experience in developing and implementing applications.
• 3-5 years of experience with Unix shell scripting and SQL.
• 2-3 years of experience in Spark programming.
• Knowledge of microservices, cloud technologies, Java, and Scala is a plus.

Brandon Lim | EA Registration No: R21102894

EPS Consultants Pte Ltd| 95C5630

Job Description & Requirements

• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Job Summary:

We are looking for a highly skilled and passionate Senior Data Scientist to join our dynamic team in Singapore. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and generative AI applications. In this role, you will drive data-driven decision-making, develop innovative solutions, and contribute to projects that enhance our products and services.

Reporting directly to the Chief Scientist, you will be part of a supportive team that values passion and collaboration. This fast-paced journey promises both excitement and fulfillment.

Job description:

• Develop genAI-based solutions that involve LLM, RAG, image-related algorithms, etc
• Provide fully customized user experience, including recommender, search, or other classification and regression tasks
• Design, develop, and implement advanced analytical models and algorithms to solve complex business problems.
• Analyze large datasets to extract insights, identify trends, and support data-driven decision-making.
• Collaborate with cross-functional teams, including product managers, engineers, and stakeholders, to understand business needs and deliver actionable insights.
• Lead the end-to-end data science process, from data collection and cleaning to model deployment and monitoring.
• Communicate findings and recommendations effectively to both technical and non-technical audiences through visualizations and presentations.
• Mentor and guide junior data scientists and analysts in best practices and methodologies.
• Stay up-to-date with the latest developments in data science, machine learning, and AI to continually enhance team capabilities.

Job requirement:

• Master’s in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in data science, machine learning, or a related role
• Proficiency in programming languages such as Python, R, or SQL
• Experience with optimization techniques (e.g., linear programming, convex optimization)
• Strong understanding of statistical analysis and data modeling techniques
• Familiarity with large-scale software engineering (e.g., Hadoop, Spark) is a plus
• Excellent problem-solving skills and ability to work independently and collaboratively
• Strong communication skills, with the ability to present complex concepts to a diverse audience

Job Description:

• Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade.

Requirements:

• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic) .NET
• Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services
• Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL
• Good grasp on security fundamentals/PKI Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue Scope of work: Development SIT/UAT support Implement micro.
• MUST HAVE at least 5 years experience in Oracle Meter Data Management is the primary skill.

Salt is looking to hire Facilities Engineer for 12 months & renewable contract role for a global technology client. We are looking for a skilled specialist who works on assignments requiring considerable judgement. Focus is on tasks using considerable skilled judgement and has deep understanding of standard operating procedures & supports the overall team.

Responsibilities:

• Performs specialized preventative and corrective maintenance on-site to critical facility components and/or systems.
• Performs moderately difficult repairs, maintenance, installations, and on-site inspections to critical facility systems.
• Monitors the Building Monitoring System (BMS) and resolves alarms for specialized issues requiring considerable judgement and implications to resolve
• Coordinates and directs vendors on skilled tasks to ensure that maintenance activities are carried out per standards and requirements
• Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and scripts.
• Identifies Single Points of Failure (SPOFs) and makes recommendations for solutions.
• Completes skilled work requests and circuit installations

Skills:

• 2+ years of experience, prefer data center experience
• Must be proficient in MS Office
• Background in Mechanical & Electrical Engineering

If this role sounds like your ideal job move, please reach out to me, Jaya at [email protected] alternatively you may apply via the system!

Regret only shortlisted candidates will be notified.

CEI No: R1659595 / EA No: 07C3147

We are seeking a motivated and detail-oriented Junior Data Analyst / Data Engineer to join our team. This entry-level role is ideal for candidates with a background in data analytics, whether through education or practical experience. As a Junior Data Analyst / Engineer, you will support data-driven initiatives by assisting with data collection, analysis, and reporting. Immediate joiners are preferred!

Key Responsibilities:

• Data Collection: Assist in gathering data from various sources, ensuring accuracy and relevance.
• Data Cleaning and Preparation: Perform data cleansing and preprocessing to ensure data quality for analysis.
• Data Analysis: Analyze datasets to identify trends, patterns, and insights that support business objectives.
• Reporting: Create simple reports and visualizations using tools such as Excel, Tableau, or Power BI to present findings to team members.
• Documentation: Maintain clear documentation of data processes, methodologies, and findings to ensure transparency and knowledge sharing.
• Collaboration: Work closely with senior data analysts and engineers to support ongoing projects and data initiatives.
• Learning and Development: Stay updated on industry trends and tools to enhance skills and contribute effectively to the team.

Qualifications:

• Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related field.
• Experience: Internship or coursework experience in data analytics, data engineering, or a related area is preferred
• Technical Skills:Basic knowledge of SQL for data querying.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  Proficiency in Excel, including functions and data analysis tools.
  
• Analytical Skills: Strong analytical mindset with a passion for working with data and solving problems.
• Communication Skills: Good verbal and written communication skills, with the ability to explain data insights to team members.
• Team Player: Ability to work collaboratively in a team-oriented environment.

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

IoT Expert (E2E Connectivity/ Data Acquisition/ E&I)

5-Months Contract

Industry : Pharmaceutical

Location : Tuas

Salary Up to $8,500 depending on experience

Our client is a global and diversified healthcare leader who discovers, develops and distributes therapeutic solutions focused on patients' needs. They have core strengths in healthcare domain with seven growth platforms: the diabetes management, human vaccines, innovative drugs, consumer healthcare, emerging markets and rare diseases .

Responsibilities

• Responsible for E2E Connectivity, Data Acquisition (Data Source Configuration):

1. Provide support on the activities between different teams (Manufacturing, Automation, Digital, Cybersecurity, QC, etc.) for equipment connectivity, according to corresponding process and methodology.
2. Coordinate with different cross function teams (MES, Data Historian, Automation, Cybersecurity, QC, etc.) and Global and Local Digital to ensure all the tasks being delivered.
3. Responsible for putting in place component to allow data acquisition into Historian.

• Tags (Continuous Information) ==> Aspen CIM-IO and Kepware (protocol translation and aggregation) configuration to feed IP21 with tag-based data
• Batch data (Relational Data) ==> Aspen Batch Extractor and SQL+ configured to feed APRM with Equipment Database or File
• Event data (Timestamp Log) ==> Aspen SQL+ configured to feed Event 21 with Equipment Database or File
• Responsible for Kepware configuration (protocol translation and aggregation) to allow remote control of the equipment from MES.
• Responsible for the interface configuration (OPC-UA, ODBC, etc.) to communicate different solution such as MES, DeltaV, Historian and Predictive Maintenance etc.
• Develop SQL Queries and Procedures
• Provide support and involve in E2E Testing Process to ensure E2E Connectivity
• Define and execute qualification tests according to validation strategy.
• Create Documentation such as SOP, Configuration Procedure, Equipment Interface Specification to connect with solution such as MES, DeltaV, Historian, Equipment(s) and Predictive Maintenance etc.) and Configuration Proof Document if required.

Requirements

• Waterfall project methodology (Requirements, Design/Specify, Configure/Integrate, Test)
• Design-Thinking approaches, agile methodology (Scrum) will be used for the work.
• Data repository and Data acquisition software deployed:

1. Aspen Historian Suite: Aspen IP21, Aspen Production Record Manager, Aspen Event21, Aspen Cim-IO, Aspen Batch Extractor, Aspen SQL+, …
2. PTC Kepware including driver.

• Systems/Equipment(s) to be connected:

1. Automation DCS (Emerson DeltaV) & SCADA (Wincc, Wonderware)
2. PLC
3. Benchtop Equipment

• Experience in Pharma industry, Manufacturing Environment, GxP compliance.
• Expertise in Data Acquisition and Data Historian
• Expertise in data protocols (ODBC, …) and industrial protocols (OPC-UA, …)
• Knowledge with Networking, Operating Systems, SQL Database

Apple Lim Pey Chyi - [email protected]

Reg No.: R2090579

EA License No.: 02C3423

Recruitment Consultant

Manpower Singapore

• Position: Warehouse Admin Assistant (Simple duties- Data entry)
• Location: Benoi Sector
• Working hours: 5 days’ work week, Monday to Friday, 8.30 am to 6.00 pm
• Salary (commensurate with experience): Up to $2500+ AWS
• Duration: Permanent
• Industry: Logistics – MNC

Main Responsibilities:

• Ensure that customers’ orders are processed promptly and accurately
• Ensure that records of warehouse transactions are recorded and filed accordingly
• Build relationship with customers to understand customers’ requirements and accurately process customers’ orders.
• Billing of services to Clients.
• Preparing of KPI statistics and reports for customers and internal use.
• Other Admin duties pertaining to warehouse operations.

Requirements:

• Minimum N level
• Minimum of 1 - 2 years’ experience in admin/logistics or warehousing coordination work

Email to [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Nomura Overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates, and governments through its three business divisions: Retail, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions, and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Department Overview

Chief Data Office is the Group Central Data and Analytics arm that works closely with the Group Businesses and Group Corporate functions to enable the execution of Nomura Group Strategy through Robust Data Standards & Governance, Actionable Performance Metrics & MIS, and High Impact Information and Analytics Products and Solution.

Job Purpose

Develop and implement data science and AI solutions to drive business growth and operational efficiency across Nomura's Asia ex-Japan (AEJ) markets.

Role Description
Job Responsibilities
• Collaborate with business stakeholders to understand their data and analytical needs and translate them into actionable data science and AI solutions.
• Design, develop, and deploy machine learning models and AI applications to support various business functions, such as:
o Risk management
o Trading strategies
o Customer analytics
o Process automation
• Perform data mining, exploratory data analysis, and feature engineering to extract insights from structured and unstructured data sources.
• Implement and maintain data pipelines, ensuring:
i. Data quality ii. Data integrity iii. Data security
• Develop and optimize AI/ML models, ensuring:
i. Model accuracy ii. Scalability iii. Performance
• Building and managing model pipelines for test, train, and deployment.
• Collaborate with cross-functional teams, including data engineers, software developers, and subject matter experts, to ensure seamless integration of data science and AI solutions.
• Stay up to date with the latest advancements in data science, machine learning, and AI technologies, and continuously improve existing solutions.
• Implement AI governance practices, such as:
o Personally Identifiable Information (PII) detection
o Model bias detection and mitigation
o Model explainability and interpretability
o Ethical AI principles and guidelines

Skills, experience, qualifications and knowledge required:

• Bachelor’s degree in computer science, Data Science, Economics, Mathematics, Statistics, or a related field.
• At least 5 years of experience in data science, machine learning, or AI-related roles.
• Strong programming skills in Python, R, or other relevant languages, with experience in data manipulation, visualization, and machine learning libraries.
• Proficiency in managing research data, data architecture, data management, databases, data classification, data mining, and data processing techniques.
• Experience in developing data processing applications and managing AI/ML on cloud environments.
• Knowledge of AI governance concepts, frameworks, deployment, and model management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Familiarity with agile methodologies and project management practices.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

SFID: 7967

Nomura Overview

Nomura is an Asia-headquartered financial services group with an integrated global network spanning over 30 countries. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its four business divisions: Retail, Asset Management, Wholesale (Global Markets and Investment Banking) and Merchant Banking. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Department Overview

Chief Data Office is the Group Central Data and Analytics arm that works closely with the Group Businesses and Group Corporate functions to enable the execution Nomura Group Strategy through Robust Data Standards & Governance, Actionable Performance Metrics & MIS, and High Impact Information and Analytics Products and Solution.

Job Purpose:

Drive development of analytics products for data and digital transformation across Nomura Group.

Role Description:
Job Responsibilities:

• Leader to create Nomura’s Information & Analytics Products. Proven experience in successfully delivering information & analytics products across global organizations with various levels of business analytics maturity, and the ability engage with analytics leaders of Nomura’s businesses to embed state-of-the-art analytics informed decision making.
• Thought leader in enabling data architecture and delivery of data-analytics platforms – on-premise, cloud and hybrid
• Exceptional information & analytics experience & technical skills. State-of-the-art expertise across, data/information preparation, data insight & visualization using BI (or similar tools), and advanced data prediction using AI, ML, DL, etc.
• Strong data management experience & technical skills. State-of-the-art expertise in data management to ensure the analytics products are appropriate/ethical and well-controlled.
• Information & analytics visionary. Envisage and deliver leading edge information & analytics products to Nomura’s businesses, strategically partnering both internally and externally to deliver best in class products.
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Create a strong delivery team. Lead, mentor and grow a global team of information & analytics experts capable of transforming Nomura.

Skills, experience, qualifications and knowledge required:

• Masters in quantitative fields (Computer Science, Statistics or similar) or at least a 4-year Bachelor’s degree in quantitative fields with minimum of 10 years of relevant data experience.
• Preferred experience in Financial Services and Other adjacent Consumer centric business
• Strong understanding of fundamental data concepts (data modelling, data pipelines, data quality, lineage etc.) and data warehousing methodologies. Conversant with data architecture paradigms
• Strong cloud engineering skills with ability to drive solution design - Experience with AWS data platforms like Redshift, EMR, RDS, Athena and Glue or similar
• Proficient with Data-Ops, AI and ML-Ops processes, platforms and methodologies and hands on with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns.
• Microservices Development: Building and maintaining highly scalable and fault tolerant microservice, including efficient server-side APIs.
• Proficient in REST services, JSON data, Python 3, Linux/Unix Shell Scripting, containerization etc.
• Proficient in modern data management methodologies and architecture
• Experience with building and managing data pipelines using Spark or similar big data processing tools
• High acumen to identify business scenarios and use data and analytics to solve and drive business KPIs.
• Understanding of core business functions to apply analytics in specific areas and drive change management.
• Clear understanding of value driven by analytics interventions and able to drive decision making.
• Be able to connect and manage relationship with C-Suite/senior executives to drive data framework compliance and plan change management processes wherever necessary.
• Train and mentor teams and internal business units and stakeholders and data management framework requirements, improvements and operationalization.
• Understand agile ways of working, and able to manage and deliver multiple projects effectively. Can plan, requirements and dependencies; manage complex analysis and enable necessary reporting.
• Ability to make decisions independently and in line with corporate philosophy, professional ethics, compliance, risk management and Nomura code of conduct.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

SFID: 7966

About CGSI

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products, and prime brokerage services in over 15 countries and regions.

Along with its parent organization China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

About the role:

CGS International has embarked on Data & Analytics journey with the objective to become truly data-driven decision-making company. As a data analyst in the Analytics Centre of Excellence you will be part of a dynamic team whose mandate is to bring about data driven transformation for the Group.

We are looking to hire an experience data analyst to join our data team. The data analyst is responsible to conducts the conversion of data into insights that will lead to informed business decisions. He/She will need to works directly with stakeholders from the business and executives within the assigned departments. With extensive experience in Power BI visualization, have the ability to develop insights and dashboard but also coach and guide users in Power BI best practices. The data analyst will support the development of the strategic agenda and system deployment for analytics and visualization including technology and system roadmap.

Job responsibilities:

• Ability to interact with various business stakeholders and functional units to understand their reporting needs
• Understand business drivers/ priorities and identify opportunities where analytics can create significant value
• Translate business problems / opportunities into tangible analytics requirements and recommend potential solutions
• Serve as a bridge / conduit between product owners, technology team and Analytics CoE to experiment, develop, test and roll out successful data driven solutions
• Expect incumbent to provide business support on Power BI development, as business is embarking on self-service journey for business intelligence and analytics
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
• Training end users on new tech stack, develop best practices and self-service reports and dashboards.

Job requirement:

• Strong knowledge and experience in MS Excel is a must
• At least 2 year experience in designing and developing Power BI visualization and reporting
• Experience in taking lead to implement Power BI, SSAS, DAX applications
• Good understanding of BI Projects & Data Warehouse concepts
• Proficient in Office 365, with knowledge of CRM platforms (e.g. Salesforce).
• Familiarity with data management practices such as data governance and quality, business intelligence, data architecture and strategy, data security and privacy, data integration, master data management, and metadata management.
• Passionate about solving problems – possesses a relentless need for investigation and data exploration.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly
• Degree or professional qualifications in Actuarial Science, Mathematics, Computer Science, Information Technology, Engineering, Data Science, Statistics or equivalent degree.
• Proven track record of meeting and exceeding targets
• Experience tracking relevant KPIs (e.g. customer satisfaction)
• A customer-oriented attitude
• Excellent communication and negotiation skills
• Problem-solving aptitude
• Able to speak both english and chinese to converse with external clients

The Department and Position

The department is responsible for development and maintenance of Capital Market IT applications (in-house and package) used worldwide, covering Front Office (Murex, Apex, Orchestrade…), Back Office (Summit, Calypso…), Market data referential (Asset Control..), Market Risk (in-house application on big data technologies).

“Run the bank” is the first mission of IT department. It involves many front line IT professionals who understand the nature of business operations, timing of activities & data flowing through internal and external systems.They are continuously working with business users, infrastructure engineer and system managers.

The Static and Market Data team works across the full value chain to feed FO, BO and Risk department with Static Market Data to sustain business activities.

The candidate will join the Singapore Capital Market Run the bank team in charge of running applications managing Static and Market data used by all bank application. The team works closely with other teams supporting Front-Office applications (Murex, Apex, Orchestrade…), Back Office and Market Risk applications.

Main Responsibilities

Application monitoring responsibilities

• Define and implement in coordination with the build team the needed application monitoring.
• Supervise and monitor daily and monthly chains and handle user request by working closely with project, infrastructure and production teams.
• Support overnight batches which take place during the Singapore Morning and early afternoon time to ensure that problems are swiftly analyzed and resolved to minimize down-time.
• Process and issue daily, weekly and monthly reporting on data quality of risk chain in which the activity is usually more intense on monthly run.

Incidents and Requests management (business users and others IT teams)

• Provide level 1 and level 2 application support to business users (trader, risk manager, market risk monitoring operator, back-office and middle-office analyst, market data administrator,…)
• Analyze and manage incidents/problems/requests.

Problem management and continuous improvement

• Prepare and maintain knowledge base for each of the application in the scope of the team in coordination with the build team and the ops team.
• Collaborate with build team to assess the priority of the problem and follow-up the resolution, even contributing to the definition of long term solution.
• Provide non-functional requirement to the build team to implement monitoring as code whenever available.

The Support analyst should have a pro-active mindset in security, incident preventive measures, productivity and global improvement of the quality of service. Candidate should have a strong appetite in the capital market functional business.

Qualifications and Profile

Candidates should have 4+ years experience in application support activity.

• ITIL certification.
• Good understanding of Capital Markets Domain and market activities.
• Relevant experience on Asset Control software
• Exposure to the Capital Markets with proficiency in financial instruments (Bonds, Rates, Equity, etc..), trading lifecycle and specifically market data.
• Relevant experience with working with external source like Bloomberg, reuters
• Expertise in static market data with knowledge of data types, sources, and uses within financial systems, including reference data, price data.
• Proven experience in technical proficiency with strong skills in SQL,
• High level of proficiency in unix/linux scripting.
• Should be able to doSLA & KPI management, client communication & interaction
  Predictive analysis, consulting, escalation management
  Risk analysis and project execution
• Appetite for continuous improvement and automation.
• Strong knowledge in XML, PL/SQL, MQ, CFT and Control-M.
• Knowledge of monitoring solutions (E.g ITRS Geneos, Elastic Search)
• Excellent communication and interpersonal skills.
• Strong analytical and troubleshooting skills.
• Ability to work well under pressure.
• Autonomous, self motivated and excellent team player.
• Strong perseverance and diligence towards attaining goals and effective time management.

The candidate should have analytical and problem solving skills, a pro-active mind-set in security, proven ability to work individually under pressure. Team player with good interpersonal skills. Excellent written and verbal communication skills.

All candidates, but particularly seniors, will be held to high a standard when it comes to communication, both oral and written. You should have good expository style, be able to explain yourself clearly and concisely, especially when the subject is technical and complex. It goes without saying that your English must be extremely fluent.

Education

• Intermediate level (min. 4 years)

Shift Timings

• Work hours : 8:45am – 6:30pm SGT and shift rotation 5PM – 2AM SGT
• Rotational Week-end support.

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

The Department and Position

The department is responsible for development and maintenance of Capital Market IT applications (in-house and package) used worldwide, covering Front Office (Murex, Apex, Orchestrade…), Back Office (Summit, Calypso…), Market data referential (Asset Control..), Market Risk (in-house application on big data technologies).

“Run the bank” is the first mission of IT department. It involves many front line IT professionals who understand the nature of business operations, timing of activities & data flowing through internal and external systems.They are continuously working with business users, infrastructure engineer and system managers.

The Static and Market Data team works across the full value chain to feed FO, BO and Risk department with Static Market Data to sustain business activities.

The candidate will join the Singapore Capital Market Run the bank team in charge of running applications managing Static and Market data used by all bank application. The team works closely with other teams supporting Front-Office applications (Murex, Apex, Orchestrade…), Back Office and Market Risk applications.

Main Responsibilities

Application monitoring responsibilities

• Define and implement in coordination with the build team the needed application monitoring.
• Supervise and monitor daily and monthly chains and handle user request by working closely with project, infrastructure and production teams.
• Support overnight batches which take place during the Singapore Morning and early afternoon time to ensure that problems are swiftly analyzed and resolved to minimize down-time.
• Process and issue daily, weekly and monthly reporting on data quality of risk chain in which the activity is usually more intense on monthly run.

Incidents and Requests management (business users and others IT teams)

• Provide level 1 and level 2 application support to business users (trader, risk manager, market risk monitoring operator, back-office and middle-office analyst, market data administrator,…)
• Analyze and manage incidents/problems/requests.

Problem management and continuous improvement

• Prepare and maintain knowledge base for each of the application in the scope of the team in coordination with the build team and the ops team.
• Collaborate with build team to assess the priority of the problem and follow-up the resolution, even contributing to the definition of long term solution.
• Provide non-functional requirement to the build team to implement monitoring as code whenever available.

The Support analyst should have a pro-active mindset in security, incident preventive measures, productivity and global improvement of the quality of service. Candidate should have a strong appetite in the capital market functional business.

Qualifications and Profile

Candidates should have 4+ years experience in application support activity.

• ITIL certification.
• Good understanding of Capital Markets Domain and market activities.
• Relevant experience on Asset Control software
• Exposure to the Capital Markets with proficiency in financial instruments (Bonds, Rates, Equity, etc..), trading lifecycle and specifically market data.
• Relevant experience with working with external source like Bloomberg, reuters
• Expertise in static market data with knowledge of data types, sources, and uses within financial systems, including reference data, price data.
• Proven experience in technical proficiency with strong skills in SQL,
• High level of proficiency in unix/linux scripting.
• Should be able to doSLA & KPI management, client communication & interaction
  Predictive analysis, consulting, escalation management
  Risk analysis and project execution
• Appetite for continuous improvement and automation.
• Strong knowledge in XML, PL/SQL, MQ, CFT and Control-M.
• Knowledge of monitoring solutions (E.g ITRS Geneos, Elastic Search)
• Excellent communication and interpersonal skills.
• Strong analytical and troubleshooting skills.
• Ability to work well under pressure.
• Autonomous, self motivated and excellent team player.
• Strong perseverance and diligence towards attaining goals and effective time management.

The candidate should have analytical and problem solving skills, a pro-active mind-set in security, proven ability to work individually under pressure. Team player with good interpersonal skills. Excellent written and verbal communication skills.

All candidates, but particularly seniors, will be held to high a standard when it comes to communication, both oral and written. You should have good expository style, be able to explain yourself clearly and concisely, especially when the subject is technical and complex. It goes without saying that your English must be extremely fluent.

Education

• Intermediate level (min. 4 years)

Shift Timings

• Work hours : 8:45am – 6:30pm SGT and shift rotation 5PM – 2AM SGT
• Rotational Week-end support.

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307