Total 6 data entry job vacancies in Singapore

· Proven experience as a Data Scientist (Must have a min of 7 years +), with a strong track record of delivering impactful data-driven solutions.

· Proficiency in Python and SQL, with experience in data manipulation and analysis libraries (e.g., Pandas, Polars, NumPy, SciPy).

· Proficiency in machine learning frameworks and libraries (e.g. PyTorch, scikit-learn) and data visualization tools (e.g., matplotlib, seaborn).

· Strong knowledge of machine learning algorithms (regression, SVM, gradient boosting, LSTNs, Transformers, etc) and experience working with time series datasets.

· Familiarity with cloud platforms (AWS, Azure).

• Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative.
• Lead the assessment of data management needs to adhere to organisational strategic objectives and provide solutions and estimates around the enhancement and upgrade needs to cater to the change in business needs
• Drive the awareness and establishment of data-related improvement initiatives across the business
• Extensive consulting experience around all aspects of Data Governance, including but not limited to building Data Governance operating model, DG structure, communication model, DG Roles and responsibilities, performing Data Maturity assessment, Data-Quality framework, Metadata Management, Data Retention and disposition policies, data naming standards etc.
• Ability to manage senior management relationships across all the business and functional areas.
• Committed to quality, precision and timeliness in deliverables and ensuring team members are aware of responsibilities and work as a team.
• Strong understanding of Data Governance concepts; must have experience in implementing DG Framework for large organizations
• Should be aware of industry best practices for setting up a Data Governance framework and operating model
• Knowledge of data-related regulatory requirements and emerging trends and issues that impact enterprise data governance.
• Must appreciate the people, process, and technology aspects of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Master Data Management, Metadata Management.
• Support stewardship activities and training and guidance for stakeholders on approved Data Governance policies & standards
• Support DG benefits quantification and performance measurement

• A minimum of 10-12 years of industry experience in Data, Analytics and AI engineering
• Experience in at least two of the following platforms: AWS, Bedrock
• Experience in Data Science implementation at scale. Ability to operationalise data science and AI solutions at scale through DataOps and MLOps. Hands-on experience with the development of data science algorithms and ability to show business value is required
• Experience in consulting and delivery of at least one end-to-end project to a client in Singapore, Malaysia or Hong Kong as a lead architect
• Understanding of the cloud ecosystem and leading emerging technologies in AI and Data Engineering, with demonstrated capabilities to deploy it successfully in practice
• Self-starter with the ability to work independently or as part of a project team of highly skilled technical resources

We are looking for a senior executive as FS Insights & Data Singapore Leader for Business Growth across Asia. You will have a growth mindset and be a strong leader who can articulate a vision, but also drive conversations and deliver results. (bookings, contribution margin, revenue, market recognition).

Your Role

The role demands a high level of autonomy; a strong appetite to drive change and overcome organizational complexity; and a high level of drive to build a business from its current strong foundations to a potential billion-scale business.

Your Profile

You will have in-depth expertise working as a senior executive and organization leader within Financial Services and have a strong understanding of data & AI and ability to develop & grow accounts.

· Extensive experience in IT Portfolio & Program Management.

· Excellent knowledge of managing a PMO function and strong financial acumen.

· Strong negotiation & communication skills.

· Experience in utilizing cross line business programmes & resources (including nearshore & offshore).

· Broad level understanding of data, AI, and technologies.

, CCMP, EA b

Your responsibilities:

· Assist business stakeholders with the decomposition of complex business requirements into Epics and User Stories that can be delivered by Technology teams via respective backlogs with minimum cross product co-ordination.

· Ensure Technology programmes align to account strategies and contribute to towards achieving strategic aims.

· Ensuring that all Technology practices and associated tools are being adopted and adhered to within the Program.

· Manage current accounts to assure sales volume grows year after year or is at least consistent.

· Identify, engage, plan, and develop new regional accounts.

· Coordinate client relationship opportunities such as project proposals, budgeting, service contracts and work orders.

· Enhance current account and business opportunities by working with regional resources.

· Oversee opportunities progression and lead through opportunity pipeline reports.

· Offer monthly forecast reports determining revenue vs. goal forecasts and inform management on new regional new developments.

· Oversee account compliance to ensure company contracts are maximized to full potential.

· Handle industry partner programs relationships to summon and discuss market and customers.

· Supervise marketing materials inventory and re-order.

· Sell target accounts, identify prospects and create new ideas to generate revenue and

· new opportunities.

· Inform client issues to the group for suitable action.

· Resolve issues and ensure highest level of quality service by coordinating with center staff and management.

Resolve client issues with help from center, regional and corporate staff.

1. Work with multiple customers to understand their requirements and design solutions around Cloudera data platform (CDP) migration, data lake and data warehouses.
2. Cloudera data platform (CDP) and Cloudera Machine learning (CML) clusters design and setup for PROD and DR.
3. Review and validate the existing cluster design for CDP and CML and provide the review report.
4. Design strategies for data migration from old cluster to new cluster.
5. Discuss and design the strategies and solutions for ELT jobs migration across clusters.
6. Design migration strategies for data transfer from on-prem clusters to the cloud.
7. Review the existing security and governance practices on the clusters and submit the report.
8. Architect and design the data lake solution for the cloud including various layers and data ingestion and transformation.
9. Propose optimized and robust security and governance solutions for data lake on the cloud.
10. Design robust and reusable frameworks/solutions across various areas like cluster setup process, data reconciliation, data migration etc.
11. Propose short term and long-term roadmaps to the customer based on their requirements and long-term vision.
12. Manage, guide and work with large data architecture and cloud teams.

Job Requirements:

1. At least 10+ years working experience in creating data lakes and Data Warehouses both on-prem and Cloud.
2. Having experience on at least 2 migration projects from Big Data appliance (Oracle BDA, IBM BDA, Teradata BDA) to Cloudera data platform (CDP 7.1.7/7.1.9).
3. Experience in setting up Cloudera Clusters (CDP & CML) for at least 2 projects.
4. Must be able to propose solutions using the Cloudera data platform (CDP) and Cloudera machine learning (CML) tools.
5. Having very good experience in automating the routine tasks using technologies like Python, Shell scripting etc.
6. Expert knowledge in devising migration strategies for data migration from BDA cluster to the new CDP cluster.
7. Deep technical knowledge and expertise in migrating ELT jobs from BDA cluster to the new CDP cluster.
8. Expert in performance tuning for the ELT jobs across tools like ODI, Informatica etc.
9. Should be well versed in various aspects like sizing, infra, networking, compatibility etc. with respect to the Cloudera clusters.
10. Hands on knowledge on implementing data lake security and governance best practices.
11. Must have worked on projects on Cloud platforms like AWS, Azure etc.
12. Working knowledge of projects in banking and financial domain is a must.
13. TOGAF Certification is mandatory.
14. Must have architect level certification in at least 2 cloud platforms amongst AWS, Azure and Google cloud.
15. Must have good communication skills so as to manage the customer in terms of requirements gathering and validation.
16. Must have experience in leading and managing large teams.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Please find the Role details: -

Job Title: Market Data Operations Analyst

Location: Singapore

Job Type: Full time with benefits

Job Summary:

This position of a consultant is for a role of a Client Relationship Manager (CRM) within the ‘Instrument Data Management Services’ department, which services the Instruments/Product Reference Data requirements of the Client organization. This role in our Operations function, requires coordination between the Offshore and Data consumers teams within client organization to handle escalations, alongside performing data and price maintenance, data quality checks and the associated controls/checks. The data is used across the client bank to facilitate many processes and functions such as execute and book trades and settle trades, client and regulatory reporting, risk, finance etc.

Job Responsibilities:

• Handle Level 1 escalations from data consumers on completeness, timelines, and correctness of Instruments/Securities Static data.
• Responsible for performing static data analysis and update application for various Financial Products with External/Internal counterparts.
• Understanding client’s requirement for setup on various securities on system, updating various price quotes and corporate action details on application
• Performing the activities maintaining require levels of Accuracy and TATs.
• Review, edit and approve the Standard Operating Procedure documents as necessary and strictly adhere to them when handling static data requests.
• Assess the impact of system changes on operational processes and provide the sign-off accordingly
• Prepare the test cases and participate in the UAT, Regression and Go-live testing of system changes, when required.
• Exceed customer expectations and work towards building a world class operations environment

Desired Skills :-

• Commerce Graduates / MBAs with work experience in Banking / Capital Markets space handling similar roles in Securities/Instruments Reference Data domain.
• Team player with excellent verbal and written communication skill; Open for working in high pressure environment
• Expert usage of Market Data vendors viz., Bloomberg, Thomson Reuters, GMI/Sungard, Telekurs/Six FI etc.

Experience :-

• 4 to 5 years’ experience in Securities / Instruments Reference data functions like Security Master & Pricing.