Associate Credit Risk

3 weeks ago

Bengaluru Karnataka India, Karnataka Acuity Knowledge Partners Full time

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

  • 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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