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High Salary! Associate Credit Risk
Acuity Knowledge PartnersIndia9 hours ago
Job descriptionMaster’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.
Position Title : Analyst / Associate / Senior Associate (Credit Risk)
Experience Level : 2-5 Years
Location : Bengaluru / Gurugram / Pune
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 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
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