Who we are
Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world's 10th largest bank by total assets.
Our Singapore center is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:
- Envisioning and preparing the Bank's futures information systems
- Partnering and supporting core banking flagships and transverse areas in their large scale development projects
- Providing premium In-house Banking applications
This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.
The Team
The department of Corporate and Support Functions IT (CSI) is responsible for the development and maintenance of risk and finance applications, used by end users worldwide. Our Risks Core Systems (RCS) section handles applications responsible for risk data collection, risk calculation and monitoring for CA-CIB worldwide.
Position
The department is responsible for development and maintenance of Risk and Finance applications used by worldwide users. Among others, it includes Credit Approval & Counterparty Risk IT.
The section handles applications responsible for risk data collection, risk calculation and monitoring for CACIB worldwide. It also covers Front Office Applications, Credit Decision Processing tool, Global Authorization Repository system and Default History Data Base. The applications are all in-house developments.
Main responsibilities
As Functional QA:
- Good knowledge in Risk area like Deals, Authorization, Guarantees, Risk Weighted Assets, etc.
- Hands on experience on various Risk Reporting. Should have worked on data mapping and testing of such risk data.
- Requirements gathering and analysis for ETL processes
- handle the different integration test phases (planning, test functional coverage and adequacy with functional content) and manage regression test, integration test on functional test campaign.
- Experience with MS SQL Server: writing queries, analyzing data, and supporting database design.
- Ability to translate business needs into technical requirements for data extraction, transformation, and loading.
- Data validation, quality assurance, and documentation of data flows
- Experience with data mapping, process documentation, and user acceptance testing
- Analyze and assess business functional specifications; recommend amendments to maximize efficiency and improve business value.
- Proficient in User Acceptance Testing (UAT), Functional & System Integration testing of banking and financial applications
- Manage the change requests during the implementation stage in coordination with sponsors, project managers and technical teams
- Ensure the daily follow up for the implementation of the solution with the developers and provide clarifications when necessary
- Manage L3 support to ensure application stability and work closely with L1/L2 support team & business line on resolution in support issues.
As Data Automation Engineer:
- Strong experience in ETL testing, data validation, data reconciliation, and source-to-target testing.
- Strong hands-on experience with MS SQL Server and advanced T-SQL.
- Experience testing Java/Spark-based data processing applications.
- Hands-on automation experience using Java, JUnit/TestNG, Maven/Gradle, and data-driven test frameworks.
- Ability to validate large datasets using SQL, Spark SQL, and automated comparison utilities.
- Experience with batch processing, incremental loads, data quality checks, and regression testing.
- Familiarity with CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or GitHub Actions.
- Experience with Git, scripting using PowerShell/Bash/Python, and automated test reporting.
- Ability to analyze ETL logs, Spark job logs, and SQL Server performance issues.
- Knowledge of file formats such as CSV, JSON, XML, Parquet, Avro, and fixed-width files.
- Good understanding of test data management, data masking, and production-like test data setup.
Qualifications and Profile
- This position requires a minimum of 4-6 years relevant experience in software testing.
- Good understanding & working knowledge of Agile/Scrum
Other Professional Skills and Mindset
- Knowledge in Risk
- Practical knowledge of SQL language
- Familiarity with SAP BI (Business Intelligence) tools and report analysis
- Proficient in MS Office
- Knowledge of project management and software development lifecycle would be a plus
- Excellent analytical and organizational skills
- Fast reacting and autonomous, with a problem solving orientation
- Knowledge of scrum tools and agile process would be an added advantage
