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

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

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.

Requirement/Skillsets:

• 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.

EA License Number : 11C4879

We are seeking a skilled Data Engineer with expertise in Informatica, data engineering, data analysis, and SQL. The ideal candidate will play a pivotal role in managing data pipelines, ensuring data quality, and delivering actionable insights through dashboards. This position also involves collaboration with clients and stakeholders to understand their data needs and deliver tailored solutions.

• Experience: 7+ years of experience in data engineering or a related field, with a strong focus on ETL processes and data analysis.
• Technical Skills:Proficiency in Informatica
  Strong SQL skills for data manipulation and querying.
  Experience with data visualization tools (e.g., Tableau, Power BI).
  Familiarity with programming languages (e.g., Python, Java) is a plus.
  
• Analytical Skills: Excellent analytical and problem-solving abilities, with a strong attention to detail.
• Communication Skills: Strong verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple tasks and projects simultaneously, prioritizing effectively to meet deadlines.

Key Responsibilities:

1. Responsible for the development of ETL pipeline in open source to

carry out data ingestion

2. Write programs to extract data from data lake and curated data layer

to meet business objectives

3. Collaborate with different teams to gather the understanding of the

application to design the ETL pipeline

4. Gather business and functional requirements, and translate these

requirements into robust, scalable, operable solutions that work well

within the overall data architecture

5. Participate in the full development life cycle, end-to-end, from

design, implementation, and testing, to documentation, delivery,

support, and maintenance and produce comprehensive, usable

dataset documentation and metadata

Requirements:

1.Programming languages: Python / Spark

2.Experience with Linux utilities & SQL.

3.Experience in using PySpark for data transformation.

4. Knowledge of AWS services such as Redshift, Glue, Cloudformation,

EC2, S3, Lambda.

5. ETL Tool Experience would be an added advantage

6. AWS Exposure would be an added advantage

Job Description

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.

Key Responsibilities:

Data Pipeline Development: Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading large datasets.

Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.

Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.

Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of data throughout the lifecycle.

Collaboration: Work closely with business analysts, colleagues, and stakeholders to understand data requirements and deliver effective solutions.

Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.

Documentation: Document data engineering processes, models, and configurations for knowledge sharing and future reference.

Adherence to Best Practices: Stay updated on industry trends and best practices in data engineering and promote their adoption 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 in a similar role.

· Strong proficiency in programming languages like Spark SQL and Python, especially in a HIVE environment.

· Familiarity with cloud platforms (AWS), Big Data infrastructure, and tools such as Jira and Bitbucket.

· Experience with CI/CD pipelines 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.

Position Title: Sales Engineer (Data center)

Working Location: Boon Lay

Working Days: Monday - Friday

Working Hours: 8:30am - 5:15pm

Salary range: SGD 4,500 to SGD 6,500 monthly, 13th month, SGD 250 transport allowance

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Promote PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

TRAVEL

• This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

☘The Supreme HR Advisory Pte Ltd EA No: 14c7279

☘SAMUEL SIAW Reg No: R24124745

Position Title: Sales Engineer (Data center)

Working Location: Boon Lay

Working Days: Monday - Friday

Working Hours: 8:30am - 5:15pm

Salary range: SGD 4,500 to SGD 6,500 monthly, 13th month, SGD 250 transport allowance

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Promote PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

TRAVEL

• This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

☘The Supreme HR Advisory Pte Ltd EA No: 14c7279

☘LIM JUN SHENG Reg No: R22104301

This is a governance & response role, the person will be working as an individual contributor, reporting into the regional DLP team lead in ARMO-ORM of MUFG Bank overseeing the DLP governance and response to support APAC Business Units.

The person will be responsible for the supporting governance and response relevant to DLP, this includes responding timely to the DLP questions raised from the BUs, checking the Change Management Document basic fulfilment, conducting analysis over the alert logs in periodical basis, follow-up with the business users for the suspicious transaction.

Job responsibilities include but not limited to:

Under supervision and guidance from regional DLP team lead, support the following activities.

1. Reporting and periodical review of DLP alerts

• Conduct analysis over the false positive, self-attestation suspicious activity on periodical basis
• To receive generated reports in periodical basis to highlight the false positive rates
• Report to be distributed to APAC countries business units.

2.HVA update reminder and collection

• Send reminder to BUs in semi-annual basis to revisit the High Value Asset(HVA) list to APAC countries business units.
• Collect and consolidate the HVA updated from each BUs.
• Share the changes to DLP Rule Engineering Team to configure it to DLP system

3.Coordinate incident response

• Inform Business Unit manager to escalate to Asia Risk Management Office / Information Security team and local compliance team on incident reporting requirement on potential incidents.
• To include DLP governance team on outcome of incident assessment.
• Report the outcome to APAC DLP Steering Committee necessary members.

4.Conduct periodical training to BUs

• Making use of the Reporting material prepared in monthly basis, prepare business users training material
• Conduct training towards respective BUs to raise their awareness
• Consider ways to measure maturity level of BUs on training

5.User inquiry response and Change Management

• Making use of the Reporting material prepared in monthly basis, prepare business users training material
• Conduct training towards respective BUs to raise their awareness
• Consider ways to measure maturity level of BUs on training

6. Support in APAC DLP Steering Committee

• Consider key inputs towards BUs stakeholders reflecting APAC DLP situation including results of incidents

7. User inquiry response and Change Request Management

• Respond to user inquiry relevant to DLP and coordinate with respective stakeholders until closure of the inquiry.
• Asia Systems Office system team to keep DLP Governance informed of Change Requests approved by Asia Risk Management Office/Information Security team and/or Asia System Office/Information Security System Management Standard team.

8. Act as required based on any other instructions from the regional DLP team lead

Job Requirements/Experience:

• Minimum 3 years of experience in helpdesk, communication and coordination with the business users.
• Ability to timely react and escalate generated alerts from DLP to ARMO Regional DLP Lead and handle queries from business units precisely.
• Good written and visual presentation skills (Excel, Word, PowerPoint)
• Ability to work effectively in a team environment, and takes initiatives to collaborate and challenge status quo, and adaptable to embrace new changes
• Strong interpersonal and analytical skills attributes
• Self-motivated and able to work independently and source for information, systematically evaluate options and recommend solutions

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10067343

Position Title: Sales Engineer (Data center)

Working Location: Boon Lay

Working Days: Monday - Friday

Working Hours: 8:30am - 5:15pm

Salary range: SGD 4,500 to SGD 6,500 monthly, 13th month, SGD 250 transport allowance

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Promote PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

TRAVEL

• This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

☘The Supreme HR Advisory Pte Ltd EA No: 14c7279

☘LIM JUN SHENG Reg No: R22104301

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).

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)

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

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

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.

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

• Work with stakeholders within the organisation, external healthcare institutions and external entities to explore and identify opportunities to leverage on data to drive business solutions.
• Support organisational reporting and dashboarding roadmap implementation.
• Apply Data Analytics and Operations Research knowledge to transform data into insights to drive optimisation and improvement of business strategies.
• Develop data processing automation through programming and other tools such as Robotics Process Automation to improve productivity.
• Participate in strategy formulation to enable and catalyse the department in meeting its KPIs.
• Maintain current organisational Enterprise Data Warehouse and plan for replatform to future Data Lake to enable stakeholder access to accurate and high-quality data for analysis and reporting.

Email: [email protected]

Responsibilities:

1. Responsible for data architecture, solution design, and product planning, in Big Data projects and product management.

2. Responsible for the technical side of big data projects, including planning, implementation, and management of the process. Includes both pre-sales (demos & POCs) and post-sales (delivery & support).

3. Effectively articulate the value of our Big Data products and solutions via a keen understanding of competitor Big Data product limitations and drawbacks. Able to tailor discussions to stakeholders of varying kinds, levels and cultures across APAC.

4. Deeply understand the challenges and direction of Digital Transformation in various industries, identify key requirements of customers, gain insight into various industry development trends, within the Data domain

5. Gain deep familiarity with the capabilities and competitive advantages of Huawei Cloud EI Products (Big Data and AI). Master the technical aspects of products such as Pros & Cons, ideal use-cases, optimize the data architecture based on different requirements, organize technical POC support, and ensure the feasibility of product solutions.

6. Promote the continuous improvement of Big Data products through product requirement management as the go-between customer-facing colleagues and Product Owners to improve competitiveness.

Requirements:

1. Minimum Bachelor degree with at least 3 years’ experience in the technology industry.

2. Required to travel based on the assigned projects.

3. Knowledge of Big Data technologies & concepts such as ETL, Data Governance, Airflow, Spark, Hive, Flink, SQL, Python, Data Catalog, BI, Graph DBs, Elasticsearch.

4. Strong understanding of mainstream cloud products and services including Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP).

5. Knowledge of related cloud computing domains, especially AI, is a plus. Relevant domains include Database, Compute (K8s, VMs), Networking, Security, Landing Zone etc.

6. Independent, hands-on, willing to learn, and takes accountability to deliver results.

7. Excellent customer facing skills. Well-developed spoken and written communication skills and the ability to tailor style to relevant audiences, and successfully liaise with people at different levels.

8. Strong communication skills with the ability to collaborate & communicate across teams within the organization.

9. Strong analytical and problem-solving skills, solution driven, highly organized and detail oriented.

10. Strong requirement gathering and solution planning capabilities.

11. Would be advantageous if posses the relevant (big data & project management) experience

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

Responsibilities

• Ensure the security of both physical and digital infrastructure
• Implement and maintain access control lists (ACL), audit security policies, and manage system user permissions to ensure optimal security.
• Ensure that the data center meets industry standards and regulatory requirements, such as GDPR and ISO 27001.
• Conduct risk assessments, identify vulnerabilities, and implement strategies to mitigate risks.
• Lead the response to security breaches or non-compliance issues.
• Regularly audit security measures and suggest improvements
• Work with other teams to support security upgrades and implementations.
• Continuously refine security processes and protocols.

Requirements

• 3+ years in data center operations, focusing on security and compliance.
• Proficiency in managing security for servers, storage, and network equipment.
• Hands-on experience with access control auditing (ACL auditing) and security policies.
• Familiarity with data center compliance standards (e.g., ISO 27001, SOC 2).
• Experience in incident management and resolution.
• Relevant security certifications such as CISSP, CISM, or CISA are preferred.

Interested candidates kindly click the APPLY NOW button.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

Xie Jiani (R1548854)

EnviroDynamics Solutions Pte Ltd

EA License No.: 12C6285

Responsibilities include monitoring and maintaining all building systems, mission-critical facilities equipment, and other equipment in raised floor environments. This covers mechanical, electrical, emergency generators, fire/life safety systems, and associated equipment.

Key tasks:

• Performing regular assessments of building system operations.
• Conducting tests and rounds, analyzing data to ensure equipment is functioning properly.
• Performing preventive maintenance on all building equipment.
• Working within building management programs for mission-critical facilities.
• Ensuring the efficient operation of all building systems, and more.

Requirements:

• Journeyman-level experience in operating or engineering mission-critical facilities, with expertise in infrastructure such as UPS, HVAC, generators, and fire/life safety systems.
• Strong hands-on skills in either electrical or mechanical work, along with competence in the other area (e.g., electrical expertise with mechanical competence or vice versa).
• A high commitment to customer service for both colleagues and clients.
• Ability to respond professionally and effectively, both verbally and in writing, to complex inquiries, complaints, and sensitive issues.
• Shift work

EA Licence No: 19C9807 | Registration ID: R22107906

Are you a fresh grad looking for entry level role?

Are you doing a career switch and want to try out Events Marketing sector?

Information:

1. Salary Range: $2600 - $3000
2. Working hours: 8am - 5pm

Responsibilities:

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Troubleshooting production problems and assisting in planning new project work.

Requirements:

• ITE/Diploma in Mechanical / Mechatronics / Electrical Engineering
• Entry level are welcome to apply

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105