Job Description

The role involves:

• Working closely with the Senior Managers / Managers of the Financial Risk Management practice on major Credit Risk and Regulatory projects
• Working with large financial institutions to design and implement solutions that digitize credit origination processes for Corporate / Commercial / Retail loans and digitize internal risk and compliance procedures using various technologies like RPA, machine learning, natural language processing and APIs
• Working with financial services clients to assist them in doing gap analysis, implementation or quality assurance on critical regulatory change initiatives, including IFRS 9, BCBS 239, Basel III / IV, ICAAP, Stress Testing
• Working with clients to understand and analyze their credit portfolios, underlying risks and risk factors to then formulate approaches to develop appropriate credit models
• Developing credit models (PD, LGD, EAD, impairment, EL, as appropriate) using necessary statistical methodologies with the use of relevant analytical solutions
• Working with financial services clients to assist them in risk technology change programs (including, but not limited to following systems - ALM, Basel III, IFRS 9, Liquidity).
• Ensuring engagement with the client, including presentations and discussions with senior management, to showcase intermediate and final outputs of work-products as well as address on-going queries

• Bachelor\'s Degree in Mathematics, Physics, Engineering, Computer Science, Finance, Statistics or Economics
• At least 1 to 4 years of relevant working experience
• Sound experience in regulatory change - IFRS 9, BCBS 239, Basel III / IV, ICAAP, Stress Testing
• Excellent knowledge of one of the programming languages - Python, R, Matlab or SAS
• Possess strong communication, analytical and problem-solving skills with the ability to work independently