Verified Job
Accounting - Finance
Credit Risk Modeler Banking
Accounting - Finance
#385117
Remote / WFH
Job Description
Credit Risk Modeler
Role: Associate - Credit Risk Quant
Location: Mumbai
Shift Timing: 1PM to 10PM
Key Duties & Responsibilities:
- Work independently & under general supervision utilizing tools and metrics for statistical credit risk analysis (including among others estimation of PD, LGD, EAD and internal risk rating migrations) to help build solutions for the management of credit risk
- Provide assistance for data assurance, data aggregation, and analysis in support of both existing and the development of credit risk models
- Analyze large datasets to identify trends, patterns, and correlations that impact credit risk, and use this analysis to inform model development
- Conduct stress testing scenarios to assess the resilience of the GAO investment portfolio under adverse economic conditions
- Provide assistance in maintaining, calibrating and improving the code of existing models
- Develop data tables within existing databases that allow models to run more efficiently.
Recommend technology-based tools and product enhancement to perform credit and statistical data analysis more accurately and efficiently.
Skills and Abilities:
- Understanding of Financial risk including credit risk, market risk, investment risk and valuation, and model risk, amongst others
- Previous experience working in either Banking/Investment Banking, Credit Rating Agency, Asset Management and/or Insurance firm desired
- Proficiency in Python, SQL, R, MATLAB, MS tools, or equivalent tools
- Experience/proficiency with credit risk vendor models such as Moody's EDF-X, CMM, RiskCalc or MPA
- Knowledge of Capital Markets
- Proficiency in Mathematics and Statistics
- Experience in loss forecasting (PD, LGD, EAD, etc), risk modeling, credit risk management and/or stress testing at a Banking or Financial Serivces firm preferred
- Ability to demonstrate strong problem solving, analytical mindset, communication, and people management skills.
- Good knowledge of Technology, Risk Tools
- Good knowledge on Risk / Reward analysis
Role: Associate - Credit Risk Quant
Location: Mumbai
Shift Timing: 1PM to 10PM
Key Duties & Responsibilities:
- Work independently & under general supervision utilizing tools and metrics for statistical credit risk analysis (including among others estimation of PD, LGD, EAD and internal risk rating migrations) to help build solutions for the management of credit risk
- Provide assistance for data assurance, data aggregation, and analysis in support of both existing and the development of credit risk models
- Analyze large datasets to identify trends, patterns, and correlations that impact credit risk, and use this analysis to inform model development
- Conduct stress testing scenarios to assess the resilience of the GAO investment portfolio under adverse economic conditions
- Provide assistance in maintaining, calibrating and improving the code of existing models
- Develop data tables within existing databases that allow models to run more efficiently.
Recommend technology-based tools and product enhancement to perform credit and statistical data analysis more accurately and efficiently.
Skills and Abilities:
- Understanding of Financial risk including credit risk, market risk, investment risk and valuation, and model risk, amongst others
- Previous experience working in either Banking/Investment Banking, Credit Rating Agency, Asset Management and/or Insurance firm desired
- Proficiency in Python, SQL, R, MATLAB, MS tools, or equivalent tools
- Experience/proficiency with credit risk vendor models such as Moody's EDF-X, CMM, RiskCalc or MPA
- Knowledge of Capital Markets
- Proficiency in Mathematics and Statistics
- Experience in loss forecasting (PD, LGD, EAD, etc), risk modeling, credit risk management and/or stress testing at a Banking or Financial Serivces firm preferred
- Ability to demonstrate strong problem solving, analytical mindset, communication, and people management skills.
- Good knowledge of Technology, Risk Tools
- Good knowledge on Risk / Reward analysis
