Associate Credit Risk

5 days ago

Bengaluru, India Acuity Knowledge Partners Full time

Position Title: Analyst/ Associate / Senior Associate (Credit Risk)Experience Level: 2-5 YearsLocation : Bengaluru/Gurugram/PuneJob 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 environment.- 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.Desired Skills and experience- 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, , R, MATLAB, SQL, VBA, C++ or similar languages.- 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, S&P 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.

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