Total 3,990 data entry clerk job vacancies in Information Technology category in Singapore

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

Main Responsibilities:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experiences.
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Languages:

• English (Fluent)

Academics:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Job Description:

• 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.
• 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.

Requirement:

Functional

• 8 - 10 years of IT Security experience in administration and management of IT Security technologies primarily Symantec Data Loss Prevention, Symantec Endpoint Protection, 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;

Technical

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient in data leakage prevention (DLP) technologies - troubleshooting and configuration management;
• Deployment, integration and administration experience of various components of Symantec DLP: Symantec Endpoint Protect, Symantec Web Prevent, Symantec Email Prevent, Symantec Enforce.
• Must 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.

Must Have:

1. Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise)
2. Database Access Monitoring.
3. Ability to prioritize effectively, to work autonomously, work successfully in a team, adaptability to changing environments, inter-personal skills.

Good to Have:

1. Symantec Endpoint Protection(Anti-Virus)
2. Microsoft Defender Suite
3. Email Security
4. Python, Regular Expression, Powershell

Education Requirements

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

1. Computer Science
2. Information Technology
3. Programming & Systems Analysis
4. Science (Computer Studies)

Zenith Infotech (S), being a ICT Recruiment firm for 27 years, supporing our clients from the governemt agencies and selected corporates, are looking out for Data Migration & Integration Analyst to be placed with our client's project, at leasat 12 months for a start.

Job Scope :

• You will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing.
• You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
• You will be expected to be an SME in Data Migrations and have advanced proficiency in this skill.
• Additionally, you should have advanced proficiency in Data Access and Data Engineering, as well as intermediate proficiency in Data Pipelines and Data Processing.
• Create data pipelines and ensure data quality.
• Implement ETL processes to migrate and deploy data across systems.
• Collaborate with cross-functional teams to ensure successful implementation of data solutions.

Requirements:

1. Experience in SQL server, SQL, SSIS (preferred) or AWS Glue
2. Min 2-3 years experience operating within Singapore Government Commercial Cloud (GCC)-
3. AWS/ Azure

Job Description:

• Design and develop data ingestion solutions for big data.
• Build efficient and reliable data processing solutions.

Requirements:

• Minimum 1-2 years of designing and implementing ETL solutions.
• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Familiar with AWS data ingestion and processing tools like FluentBit, Kinesis, and Glue.

The Position

The position is within the Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Sales, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

CMI teams are mainly located in Paris, London, New-York, Hong-Kong, India and Singapore. Current position is based out of Singapore and successful candidate will be able to work in an international context with distributed engineering teams striving for highest quality of delivery.

Mission Context

Must be able to understand the functionalities and enterprise-wide data flows of Capital Marketing banking systems. Should be able to understand the criticality of business processes. Well versed in different type of testing; Functional Testing, Sanity Testing, Regression Testing, User Acceptance Testing etc.

Key Responsibilities

• Develop test cases and execute them in every Non-Regression Testing cycle.
• Create test data to perform test case execution.
• Automate the manual test cases and ensure the maintenance of test scripts.
• Run the automated test cases within UFT and BDD Selenium framework.
• Maintain the build job in Jenkins
• Defect and root cause analysis.
• Identify and implement automations to improve efficiency.
• Interact with other teams to perform Integration testing and Participation testing.
• Develop documentation for application knowledge transition.
• Interact with stakeholders, Dev and BAs.
• Create and Send daily execution reports to the clients.
• Undertake any other duties of a similar level and responsibility as may be required from time to time.
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Qualifications

• 6+ years’ experience in IT.
• Strong analytical and problem solving skills
• Must have Scripting languages – VB Script, Java, Selenium
• Must have Tools knowledge– HP ALM, Jenkins, Putty, Micro Focus UFT, BDD Cucumber
• Good to have DevOps Tools knowledge: GIT, Jenkins, Selenium, Maven,
• Must have SQL Server – Database and SQL Query knowledge
• Must have Capital Markets domain knowledge
• Able to interact with senior management in Business and Technology, as well as technical colleagues
• Knowledge and experience of agile methodologies
• Excellent presentation skills including oral and written communication skills
• Enthusiastic, motivated team player
• Industry standard certifications in ITIL and SCRUM methodologies would be beneficial

Besides having greater experience on quality assurance, as a senior analyst the candidate is expected to lead discussions with architectural teams(functional and technical), different stakeholders , investigate and provide solution to compex business issues and promote continuous improvements.

Education Requirements

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

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

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Job Responsibilities:

- Address customer inquiries and concerns effectively

- Coordinate with warehouse

- Prepare import shipping documents

- Any ad hoc duties as assigned

Requirements:

- At least GCE ‘O’ Level or equivalent

- Familiar with MS Office applications

- Details oriented person

EA Name : MANPOWER ACCESS PTE LTD

EA License No : 13C6854

EA Personnel Name : Chong Wei Ley

EA Personnel Registration No : R22108644

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gdayAEcn

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Oracle Data / OBIEE , Power BI , Cognos or Informatica will be of added advantage.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gdayAEcn (EA: 94C3609/ R1219669)

• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People who are ready to do individual contribution and can able to join within 30 day would be preferable

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

The Position

The department is responsible for development and maintenance of Capital Market applications used by worldwide users.

“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 candidate will join the Singapore Capital Market Run the bank team in charge of running application for capital market from Front-Office (Murex, Apex, Orchestrade…), Back-Office (Summit, Calypso…) and Market data referential (Asset Control..), Market Risk applications (in-house application on big data technologies).

It is a great first position to onboard in a IT banking domain, with many fundamental learning of what is the Information System of an investment bank. It provide step by step learning, starting from Level 1 support, then moving to level 2 and finally being part of the continuous improvement ande evolution of new application and process optimization.

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.
• Maintain programmable code outlined in technical instructions and specifications for software applications.

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

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

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.

Qualifications and Profile

Mandatory

• Candidates should have 8+ years experience in support activity.
• Candidates should have ITIL knowledge.
• Experience in Software development or Devops team.
• Should be able to do
• SLA & KPI management, client communication & interaction
• Predictive analysis, consulting, escalation management
• Risk analysis and project execution
• Appetite for continuous improvement, out of the box solution and automation mindset
• Strong knowledge in XML, SQL, PL/SQL, MQ Series, CFT and Control-M.
• Knowledge of monitoring solution (E.g ITRS Geneos)
• At least 3-year experience with Jenkins, GIT (GitLab)
• At least 1-year experience in Ansible
• Shell scripting, Perl Scripting (not mandatory)
• Unix Batch creation

Good to have

• Experience with Docker/Kurbernetes
• Experience with Liquibase or equivalent
• General banking and finance understanding and knowledge
• Understanding of trade life cycle, financial products (Treasury, FX, Bonds, Credit, IRD…)
• Exposure to Capital Market FO/BO system (E.g. Summit, Kondor+, Murex…)

Other Professional Skills and Mind-set

• Excellent written and verbal communication skills for both team mates and management
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Appetite to follow technology trend and participate to communities
• Passion for sharing expertise and grow team members’s skills
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.
• Ability to work well under pressure
• Autonomous, self-motivated and excellent team player
• Strong perseverance and diligence towards attaining goals and effective time management

Education Requirements

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

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

Shift Timings:

• Person will have to work in shifts as support is requiring 24/6 Support.

(00:00~9:00) (7:00 ~16:00) (15:00 ~1:00next day)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Job Responsibilities:

you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. You will be expected to be an SME in Data Migrations and have advanced proficiency in this skill. Additionally, you should have advanced proficiency in Data Access and Data Engineering, as well as intermediate proficiency in Data Pipelines and Data Processing.
Design and develop data solutions for data generation, collection, and processing.
Create data pipelines and ensure data quality.
Implement ETL processes to migrate and deploy data across systems.
Collaborate with cross-functional teams to ensure successful implementation of data solutions.

Job Requirements:

Experience in SQL server, SQL, SSIS (preferred) or AWS Glue min 2-3 years experience operating within Singapore Government Commercial Cloud (GCC)- AWS/ Azure

Next Step:

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.

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

All shortlisted candidates will be contacted.

Saghana Sithara | Registration Number: R1550224

Main responsibilities

• Able to lead in terms of technology and conceptualize, propose design and architectural evolution.
• Contributing to development of high quality fully tested source code complying with deadlines, schedule and coding standards.
• Liaise with business analysts for clarification and understanding of requirements.
• Organize and keep up to date detailed technical documentation
• Develop tests strategy in coordination with project manager / Business Analysts
• Provide technical assistance during user acceptance test
• Support applications in production - analyze and resolve issues as they arise as well as propose optimizations for future.

Qualifications and Profile

The successful candidate will definitely have:

• At least 9 years of software development experience
• At least 7 years’ experience working with Java.
• Strong knowledge on various design patterns
• A strong understanding of recent Java language features, such as lambdas, streams, and futures
• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Strong ability to analyze code – understand execution flow & debug even without access to a debugger
• Experience with Maven, Git, writing and maintaining integration tests
• Strong familiarity with Linux and bash
• Good knowledge of SQL or an SQL-inspired dialect such as HQL
• Experience in cloud native architecture.

An ideal candidate will also have expertise in some or all of the following:

• Jenkins and Ansible with exposure to devops culture
• Jira or a similar issue-tracking system
• The Spring framework and IoC, and particularly Spring Boot and Swagger for restful web services
• Messaging technology such as kafka, MQ

Additionally, knowledge of the following would be helpful although it is not required:

• Web development fundamentals (HTML, Javascript, jQuery, ReactJS, etc)
• Docker/Kubernetes, Microservices
• ElasticSearch
• General knowledge and understanding of investment banking domain, capital market FO/BO environment is an advantage
• Understanding or interest in finance & financial markets, particularly interest rate derivatives in their many forms (Forwards, Futures, Swaps, Swaptions, etc)

Other Professional Skills and Mindset

• Excellent written and verbal communication skills for both team mates and management
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Appetite to follow technology trend and participate to communities
• Passion for sharing expertise and grow team members’s skills
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.

Education Requirements

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

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

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Diploma/Degree in Electrical/Mechanical Engineering with background in Sustainability
• Knowledge of Local & International standards such as BCA Green Mark for Data Centre and Buildings, SS564 Green Data Centre, ISO 14001 Environment Management System
• Experience in a related field preferred.

Follow us for more updates, interview tips!
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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Responsibilities

• Responsible for the overall planning, design, delivery and promotion of the Customer Service bot data analysis
• Design an effective analysis and reporting system to enable internal teams quickly break-down key metrics, diagnose weak areas and suggest actionable items
• Collaborate closely with cross-functional teams including PM, data engineering, and Customer Service operations team to achieve product objectives
• Review Customer Service bot KPI and user cases regularly and find valuable insights to guide product and operation improvements

Requirements

• 5+ year experience; Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field
• Strong analytical thinking and communication skills
• Experience with common analysis tools such as SQL, R, and Python
• Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
• Familiar and comfortable with large volumes of data and big data technology (Hadoop, Spark, Presto, hive)
• Experience in working with cross-functional teams to gather requirements and ability to set work priorities
• Good business sense and logical thinking. Ability to synthesize information and generalize the pattern
• Experience with customer service data analysis and AI bot analysis will be beneficial

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction:

As a Lead Data Scientist, you will be reporting to Analytics Center of Excellence (CoE) Manager and support in a pivotal role within the Data Science team and assist in the provision analytics technical requirements. You will initiate the best-practices in analytics use case development/deployment/ scaling/maintaining the data science projects and fostering partnership with Artificial Intelligence (AI) vendors/start-ups. You are responsible for developing and deploying machine learning or other statistical models to address most complex and operational challenges. You will build scalable data products that will drive value and collaborate with all stakeholders across GlobalFoundries.

Your Job:

· Work closely with stakeholders to translate their needs into predictive and prescriptive analytics solutions.

· Collaborate closely with GFIT and Manufacturing Data Domain group to build required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.

· Conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.

· Identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.

· Deploy models into production with assistance from Product Engineers.

· Validate and monitor models to ensure consistent performance and avoid performance degradation.

· Lead technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.

· Lead team of data scientists, including managing workloads, creating, and implementing common modeling standards and practices, and providing mentorship, support, and expertise.

· Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.

· Responsible for generating and maximizing value from analytics solutions.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications:

· Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.

· A minimum of 10 Years of experience in analytics space with proven track record of innovation as a forerunner.

· 5+ years of experience in technical team leadership.

· Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning

· Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)

· Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.

· Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.

· Strong communication skills to interact with both technical and non-technical audiences.

· Proven leadership skills to coach and guide team members to ensure on-time excellence.

· Product mindset with significant experience working in Agile teams.

· Ability to build a sense of trust and rapport within the team and senior leadership.

· Flexibility and ability to work with ambiguous problems and unstructured data.

· Strong bias towards action and proven ability toward iteratively and quickly to show incremental impact and value.

Preferred Qualifications:

● Master’s in data science, computer science or other quantitative field.

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction:

As a Data Scientist, you will be reporting to Lead Data Scientist and support in a pivotal role within the Data Science team and assist in the provision analytics technical requirements. You will support your manager to initiate the best-practices in analytics use case development/deployment/ scaling/maintaining the data science projects. You will assist your Lead Data Scientist in fostering partnership with Artificial Intelligence (AI) vendors/start-ups. You will support the Lead Data Scientist in developing and deploying machine learning or other statistical models to address the most complex and operational challenges. You will support in building scalable data products that will drive value and collaborate with all stakeholders across GlobalFoundries.

Your Job:

· Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.

· Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.

· Support Lead Data Scientist to conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.

· Help Lead Data Scientist to identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.

· Contribute to deploy models into production with assistance from Product Engineers.

· Help Lead Data Scientist to validate and monitor models to ensure consistent performance and avoid performance degradation.

· Support Lead Data Scientist during technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.

· Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.

· Facilitate generating and maximizing value from analytics solutions.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications:

· Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.

· A minimum of 4 Years of experience in analytics space with proven track record of innovation as a forerunner.

· Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning

· Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)

· Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.

· Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.

· Strong communication skills to interact with both technical and non-technical audience.

· Proven leadership skills to coach and guide team members to ensure on-time excellence.

· Product mindset with significant experience working in Agile teams.

· Ability to build a sense of trust and rapport within the team and senior leadership.

· Flexibility and ability to work with ambiguous problems and unstructured data.

· Strong bias towards action and proven ability toward iteratively and quickly to show incremental impact and value.

Preferred Qualifications:

● Masters in data science or a related field

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction:

As a Data Scientist, you will be reporting to Lead Data Scientist and support in a pivotal role within the Data Science team and assist in the provision analytics technical requirements. You will support your manager to initiate the best-practices in analytics use case development/deployment/ scaling/maintaining the data science projects. You will assist your Lead Data Scientist in fostering partnership with Artificial Intelligence (AI) vendors/start-ups. You will support the Lead Data Scientist in developing and deploying machine learning or other statistical models to address the most complex and operational challenges. You will support in building scalable data products that will drive value and collaborate with all stakeholders across GlobalFoundries.

Your Job:

· Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.

· Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.

· Support Lead Data Scientist to conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.

· Help Lead Data Scientist to identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.

· Contribute to deploy models into production with assistance from Product Engineers.

· Help Lead Data Scientist to validate and monitor models to ensure consistent performance and avoid performance degradation.

· Support Lead Data Scientist during technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.

· Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.

· Facilitate generating and maximizing value from analytics solutions.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications:

· Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.

· A minimum of 5 Years of experience in analytics space with proven track record of innovation as a forerunner.

· Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning

· Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)

· Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.

· Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.

· Strong communication skills to interact with both technical and non-technical audience.

· Proven leadership skills to coach and guide team members to ensure on-time excellence.

· Product mindset with significant experience working in Agile teams.

· Ability to build a sense of trust and rapport within the team and senior leadership.

· Flexibility and ability to work with ambiguous problems and unstructured data.

· Strong bias towards action and proven ability toward iteratively and quickly to show incremental impact and value.

Preferred Qualifications:

● Masters in data science or a related field

We are on the lookout for a highly motivated individual to become a pivotal member of our dynamic team at the NCCS. In this role, you will be instrumental in shaping Singapore’s cancer research infrastructure centered around a national cancer database that consolidates clinical data from the largest cancer healthcare cluster in Singapore, tissue availability through tissue bank network and molecular research data. These components are meticulously linked to each other and integrated cluster-wide, forming the backbone of our data-driven projects.

This position offers an exciting opportunity to contribute to SingHealth coordinated projects that seeks to use translational research & big-data analytics to enhance cancer healthcare delivery for improved patient outcomes for Singaporeans & beyond.

Your responsibilities will include:

1. Project Management:

- Assist in the planning, execution, and monitoring of SingHealth healthcare research projects from initiation to completion.

- Collaborate with project stakeholders to define project scope, goals, and deliverables.

- Develop project plans, timelines, and budgets, and ensure adherence to project milestones and deadlines.

- Manage project and team meetings across sub-teams towards a larger objective.

- Track project progress, identify potential risks and issues, and implement corrective actions as needed.

- Communicate project updates and status reports to project team members and stakeholders.

- Interface with business development teams to identify project opportunities and support feasibility assessment.

2. Data Management:

- Oversee healthcare data extraction, storage, and analysis activities in accordance with regulatory requirements and organizational standards.

- Oversee data validation, cleaning, and harmonization processes to ensure data integrity and accuracy.

- Oversee development and maintenance of databases, spreadsheets, and other data management tools to support project activities.

- Facilitate data transformation and preparation between systems to ensure seamless data integration.

- Guide data analysis and generate reports to support decision-making and project evaluation.

- Collaborate with internal and external stakeholders to identify data needs and requirements for healthcare projects.

- Ensure compliance with data privacy and security policies, including HIM-DM regulations.

Requirements:

- Degree in Life Sciences, Health Sciences, Bioinformatics, Statistics, Mathematics Information Technology, Computer Science, Data Science and/or Business Analytics.

- Minimal 5 years of experience in project management and data management, preferably in a Healthcare or Research setting.

- Certification in project management (e.g., PMP) and experience with oncology, research or healthcare data management systems are desirable but not required.

- Proficiency in project management tools and software, such as Microsoft Project, Trello, or Jira.

- Strong analytical skills and attention to detail, with the ability to analyze large data sets and generate actionable insights.

- Excellent communication and interpersonal skills, with the ability to collaborate effectively with multidisciplinary teams.

- Knowledge of healthcare regulations and data privacy standards, including HBRA, HTF, HIM-DM compliance.

- Ability to work across different domains (biomedical research, data science, analytics)

- Meticulous, with excellent organizational and time management skills

- Good communication, organizational and interpersonal skills

- Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.

- Ability to work on multiple projects involving multiple stakeholders concurrently.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Salary: up to $3,200

Location: Toa Payoh

1 year contract (renewable subject to your performance)
Monday to Friday, 9am to 6pm

Job Duties:

Partnership and Grant Management

• Manage the new auditor contract from FY2024, including tracking and analysis of contract budget utilisation.
• Manage invoices from and payments to the auditor
• Track and report on the utilisation of the approved contract value
• Assess grant applications and closure reports

Data Management

• Manage development and execution of partnership surveys and analysis of responses
• Consolidate survey findings, visualisations, and insights into a report
• Collate engagement logs and prepare submission to Customer Relationship Management System (CRMS) and Central Stakeholder Repository (CSR)
• Review CSR monthly access review
• Assist in the Impact Assessment Study

Job Requirements:

• At least 1 year of experience in partnership management or a related field
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Meticulous with an eye for details and figures
• Able to multi-task and prioritise work effectively
• Proficient in Microsoft Excel and PowerPoint
• Experience with data visualization tools such as Tableau or Power BI
• Experience with grant management or administration of funds is a plus
• Able to work independently and in a team

Should you be interested in this position, please contact Juliana at 9230 6374

( https://wa.me/6592306374) your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1879595 Juliana Lin Yuzhen

Secretlab is an international gaming chair brand seating over two million users worldwide, with our key markets in the United States, Europe and Singapore, where we are headquartered.

You will be a Senior Data Engineer/ Data Engineer in our team, responsible for bringing Secretlab’s data infrastructure and analytics. The demand for clean serviceable stream/batch data has outstripped our ability to handle out of the box solutions; the demand for information has grown rapidly here at Secretlab. We’re looking for Data Engineers who are excited about bringing a start-up data culture to a new level.

Responsibilities:

To be successful

• Setup AWS Cloud data infrastructure for data engineer or data science use-cases
• Secure Data Infrastructure from breaches and lapses (Setup VPC, SAML, according to architectural best practices)
• Design Data Model & Architecture for the data warehouse & other data systems
• Develop star-schema and analytics and ML layers with Airflow, Data Built Tool, etc.
• Develop Standard Template Packages for the rest of the team (e.g. logger templates and AWS, etc.)
• Maintain a reliable data pipeline by following best practices (avoid accruing technical debt by unit testing, logging etc.).
• Have MVPs and balance UI/UX/Function/Reliability - avoiding over or under-engineering pitfalls.
• Build to Order pipelines need to be delivered against feature requests & user stories
• Be comfortable with SaaS like Fivetran, DBT, S3, and Snowflake
• Communicate clearly and concisely about all the aforementioned requirements as well as guide junior team members
• PRs are bite-sized and easy to review with a 50% of PRs to clear within 1 review & 90% after 2 reviews

What your week will look like

• AGILE Sprints with Business Intelligence Team to prune & prioritize backlog (Ops)
• Develop data models (star-schema, event-based data marts, etc.)
• Code reviews are part of the Data Team’s production process
• Microbatch / Batch data in from source systems such as Shopify
• Automate DBT pipelines with Orchestrators such’ as Airflow/Luigi
• Establish connectors to downstream BI / DWH tools
• Handle data processing errors and failures as they surface
• Contributing process improvements and tool selections in the weekly retro (start, stop, continue)

Requirements:

Technical

• SQL, Python ProficientFamiliarity with DevOps tools such as Git, Docker, terraform is a plus
• Familiarity with DevOps tools such as Git, Docker, terraform is a plus
• Familiar with error logging, bad record handling, etc.
• Building human-fault-tolerant pipelines understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline
• Experience with the cloud (e.g., AWS, GCP)

Personality

• Real passion for data, new data technologies, and discovering new and interesting solutions to the company’s data needs
• Upfront and Candid Personality – someone who is eager to contribute to the continuous improvement of both team and process; open to accepting and giving feedback (especially in retros)
• Honest and Pragmatic – someone who access their capabilities honestly without embellishment

Bonuses:

• Prior experience with scaling up start-ups
• Apache-Spark

For more details on this position and other opportunities, please refer to our careers page

Role:Data Engineer/Design Patterns

JD:

Data Models and Governance

The Data Models and Governance team is comprised of experts in ensuring Global Markets businesses use a governed transaction data model with robust standards and controls that can be used as a common trusted source. We leverage modeling, analytics, data visualization and trading tools. We are expected to maintain an in-depth understanding of the financial terms, risk management, and trade processing flows for a wide range of products, models and asset classes offered by the firm. This presents a highly visible platform to use your skills and knowledge on challenging and strategic projects to make a direct impact to the firm’s bottom line and speed of business execution.

Responsibilities

* Leverage firm’s APIs and tools for financial terms representation

* Build highly-scalable data models catering to booking and post-trade processing systems

* Maintain strict governance and standards on the usage of transaction data and models

* Partner with Trading and Strats for effective risk management of front to back

* Collaborate efficiently within a diverse global team and stakeholders set in business and federation

* Work in a fast-paced, high-pressure environment as a self-starter

Basic Qualifications

* Bachelor's Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering.

* Knowledge about popular design patterns and algorithms

* Knowledge of at least one derivative asset class

* Programming skills in a major programming language

* Efficient and effective communication skills

* Strong quantitative and analytical skills

* In-depth knowledge of systems, tools, processes of one derivative asset class

* 2-3 year experience working in OTC derivative function

Preferred Qualifications

* Knowledge of SQL and databases

* Knowledge of more than one financial asset class

* Awareness around Derivatives Regulatory Reforms

Who We Look For:

An ideal candidate would have strong a strong technical background and problem solving skills, drive to investigate problems and generate new ideas, and the judgement to deliver quick yet robust solutions.

About:

Okratin is a part of the Deel offering, specialized in global consulting services. Our experts help our customers execute on global projects and are experienced in various domains, including software development, product management, data science, finance, marketing, business development and more.

Responsibilities:

• Analyze the data taken directly from app store (iOS and Android) data. Spot trends in the data and look for new market insights.
• Support requests from marketing and product to substantiate specific market insight hypotheses for the app store ecosystem.
• Scrape new data from mobile platforms in order to generate new reports.
• Create custom reports that serve the needs of premium clients, including app and game publishers, mobile carriers etc.

About the Company

We are developing intelligent systems to improve productivity, quality, logistics, manufacturing, and big data processing, with the aim of operating data-driven factories through IT/OT data integration. Our focus includes building and managing a successful Smart Factory data warehouse and establishing IT/OT data architecture and governance.

About the Job

You will translate the business requirements into technical specifications, encompassing data streams, integrations, transformations, databases, data warehouses, and big data.

• Actively participate in the data analytics process, covering business understanding, data exploration, modeling, and visualization.
• Identify data sources and automate the ETL process.
• Conduct feature engineering and analyze large, complex, and multidimensional databases.
• Enhance existing machine learning models and databases.
• Implement solutions, document processes, and present findings effectively.

Requirement

You will need min bachelor degree in computer science or related fields.

• With min 3 years of experience as a data engineer.
• Familiar with (RDBMS, Big Data)
• Proficient in coding with Python and SQL.

R1332781