Basic information

- Position Title : Analyst/ Associate / Senior Associate
- Experience Level : 3-5 Years
- Department : IORS
- Location : Bengaluru/Gurugram/Pune
- Position reports to : Director

Job purpose

- Provide comprehensive model validation and review processes in accordance with client's model risk management policy to assess model usage, purpose, conceptual soundness, data integrity, documentation and the control setting.
- Communicate results via formal model validation reports, as well as presentations to model owners and senior management.
- Prepare detailed documentation of all analyses, code developed, and findings from assessments, ensuring reproducibility and transparency.
- Organize and maintain supporting evidence for all remediated issues and edge case testing, facilitating future reviews, audits, and regulatory examinations
- Maintain the model inventory and support the model risk governance process.
- Perform ad hoc (generally statistical) analysis of back-tests or simulated performance information.
- Support Risk committee presentations and reporting exercises.
- Support Model Risk management policy management, review performance monitoring and assess model certifications.

Key responsibilities

- Deep understanding of financial products, risk measurement, and model validation practices,



including regulatory expectations for financial institutions.
- Experience with vendor financial data vendors: Bloomberg, Refinitiv, CRSP, MSCI, Markit, SP Capital IQ, etc.
- Solid understanding of financial predictive modeling, such as multi-factor risk models, time series forecasting, Value-At-Risk (VaR), optimization theory, and machine learning.
- Attainment or progress toward at least one of the following: Graduate degree in business or quantitative discipline, FRM or PRM risk management certifications, Chartered Financial Analyst (CFA) charter
- Demonstrated history of strong analytical skills and attention to detail.

Key competencies

- Master's degree in mathematics, statistics, data science, finance, Quantitative Finance, or a relevant field.
- Experience in model development, model validation or model governance in the fields of Credit Risk, Market Risk, Operational Risk, Fraud Risk.
- Programming experience with demonstrated exposure to multiple languages such as Python, SAS, R, MATLAB, SQL, VBA, C++ or similar languages.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Model Risk Management Professional (Pune)
🏢 Acuity Knowledge Partners
📍 Pune