Consultant/Senior Consultant - Credit/Model Risk Management - Financial Services Vertical

Credit Risk (Consultant - EM)

Consultant/Senior Consultant - Model Risk Management

- Chennai, Bangalore, Hyderabad

Job Description :

About the role :

- The growing Financial Services vertical seeks self-motivated analysts and statistical modelers with superlative technical skills for a challenging role in the Financial Services Modeling & Analytics area.

- Responsibilities for this job include working with various clients to design, develop, and implement models for various retail credit and fraud scorecards, and risk model development.

- The role also comes with a managerial responsibility to set and review tasks, perform QC, and to supervise, mentor and coach analysts.

- As part of larger Financial Services practice, you may get to work on a broad range of business critical problems across various work streams.

- You will be engaging with clients and client partners to understand their business context, and work with a team of data scientists and engineers.

Location :

- Chennai/Bangalore/Hyderabad/Remote

Experience :

- 2 to 8 years

Expertise And Qualifications :

Qualification :

Education :

- Graduate/Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar.

- Deep knowledge in Quantitative methods / econometrics/ statistics.

- Strong in Regression analysis, Time series Analysis, optimization.

- Knowledge of Risk Models and Optimization algorithms.

- Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis.

Responsibilities will include:

- Monitor and validate aggregate model risk in alignment with banks risk strategy.

- You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models.

- Manage a grwoing Model Validation team responsible for independent first line validation of predictive and generative AI models.

- Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings.

- Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness.

- Interpret data to recognize any potential risk exposure.

- Development of challenger models that help validate existing models and assist with outcome analysis.

- Ensure compliance with the model risk monitoring framework.

- Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards.

- Exposure to CCAR/CECL/IRB Models are preffered.

- Evaluate the Banks compliance with SR 11-7 regulatory guidance.