Piramal - Lead - Model Risk

Lead Modal Risk

- Candidate must have prior experience in the development, maintenance, enhancement, and optimization of various models, including models used for customer risk ranking which may include machine learning or artificial intelligence

- Candidate shall be responsible to Conduct internal and external research surrounding new trends in modeling approaches, perform gap analysis with existing model controls, provide proposals, and assist stakeholders in implementing proposed solutions

- Engage in quantitative model review and risk assessment of Credit Risk models

- Take initiatives and responsibility of end-to-end delivery of a stream of Model Risk Management related deliverables for model reviews

- Follow retail lending and business trends on a frequent basis to enhance the quality of Model Risk Management.

- Write Model Risk Management findings in technical documents that could be used for presentations both internally (model developers, business unit managers) as well as externally (regulators).

- Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management

- Draft documentation surrounding the design of models and establish ongoing monitoring controls while collaborating with quantitative analysts and subject matter experts in efforts to develop, or enhance, models - Masters degree in a technical or quantitative finance-related area such as Statistics, Quantitative Finance or Economics

- 2-6 years of work experience in a Model Developer or reviewer role

- Good programming skills in Python and / or R, MATLAB or similar programming languages

- Familiarity with essential quantitative techniques used in financial and econometric models

- Familiarity with popular machine learning techniques

- Experience in Validation of Credit Risk models in Banks/NBFC/HFC/Bureau is preferred

- Relevant professional certifications like FRM, CQF are preferred

- Strong written and verbal communication skills

- Desire to work in a dynamic, team-oriented environment focusing on challenging tasks mixing fundamental, quantitative and retail landing oriented knowledge and skills