Lead Expert - ERM (CRS)

Are you passionate about Credit Risk Analytics, Stress Testing, and Data-Driven Risk Management?

Join RISQ/ERM/RCS/CRS, a team at the core of Société Générale's credit risk monitoring and steering framework. This role is being offshored to GSC India and is responsible for the production, analysis, and enhancement of Credit Value-at-Risk (Credit VaR) and Credit Stress Testing metrics used for risk monitoring, management decision-making, and regulatory reporting.

You will work in a dynamic environment at the intersection of risk management, data analytics, and technology, collaborating with global stakeholders across Risk, Finance, and Business teams.

You will:

• Produce and analyze Credit VaR and Credit Stress Testing metrics and reports.
• Ensure timely and accurate delivery of recurring risk production processes.
• Monitor key credit risk indicators and investigate significant movements or risk drivers.
• Develop and maintain automated data pipelines and analytical solutions using Python and SQL.
• Design and enhance Power BI dashboards to improve risk monitoring, visualization, and management reporting.
• Drive process improvements, automation, and controls to increase efficiency and reliability of production activities.
• Partner with global stakeholders to support risk analysis, methodology changes, regulatory requirements, and ad-hoc management requests.
• Contribute to the continuous improvement of risk data quality, reporting frameworks, and governance processes.
• Support testing and implementation activities related to system, data, or methodology enhancements.

• • Master's degree in Finance, Risk Management, Engineering, Statistics, Mathematics, Computer Science, Information Technology, or a related quantitative discipline.
  • 3-8+ years of experience in Credit Risk, Risk Analytics, Stress Testing, Regulatory Reporting, or Financial Data Analytics.
  • Mandatory hands-on expertise in:
    • Python for data analysis, automation, and process optimization.
    • SQL for data extraction, transformation, validation, and reporting.
    • Power BI for dashboard development, visualization, and management reporting.
  • Strong understanding of credit risk concepts, including Credit VaR, Stress Testing, risk reporting, portfolio monitoring, and risk analytics.
  • Proficiency in Microsoft Office tools, particularly Excel and PowerPoint.
  • Experience in data quality controls, process improvement, and automation initiatives.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to interact effectively with global stakeholders across Risk, Finance, and Business functions.
  • Curious, proactive, and results-oriented with a continuous improvement mindset.
  • Strong written and verbal communication skills.
  • Fluent in English.

• Candidate Profile
  • Master's degree in Finance, Risk Management, Engineering, Statistics, Mathematics, Computer Science, Information Technology, or a related quantitative discipline.
  • 3-8+ years of experience in Credit Risk, Risk Analytics, Stress Testing, Regulatory Reporting, or Financial Data Analytics.
  • Mandatory hands-on expertise in:
    • Python for data analysis, automation, and process optimization.
    • SQL for data extraction, transformation, validation, and reporting.
    • Power BI for dashboard development, visualization, and management reporting.
  • Strong understanding of credit risk concepts, including Credit VaR, Stress Testing, risk reporting, portfolio monitoring, and risk analytics.
  • Proficiency in Microsoft Office tools, particularly Excel and PowerPoint.
  • Experience in data quality controls, process improvement, and automation initiatives.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to interact effectively with global stakeholders across Risk, Finance, and Business functions.
  • Curious, proactive, and results-oriented with a continuous improvement mindset.
  • Strong written and verbal communication skills.
  • Fluent in English.

  Nice to Have

  • Knowledge of Basel regulations, IFRS9, RWA, or Credit Portfolio Management.
  • Experience in banking, financial services, or risk management functions.
  • Working knowledge of Java and/or JavaScript.
  • Exposure to application development, API integration, or automation frameworks.
  • Experience with data visualization, workflow automation, and reporting platforms.