Job Description
Level M6
Department Team Member - Credit Risk
Location Mumbai
Role Requirements
Credit Risk Analytics and Modelling - Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations.
Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards - in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques
In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators
Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams
Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis.
Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building.
Ensure reliability, integrity and consistency of reported and underlying data
Build and manage a team of like-minded data analysts and modellers
Pre-Requisites
Between 8 and 12 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of risk and data analytics - particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage.
Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable.
Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful.
Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches.
Above average to advanced excel skills
Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage
Message to potential applicants If your education and work experience have given you solid skills in diligence, quantitative analysis and communication, then you are the profile that we will be interested.While there is lot of data, a significant amount of human interpretation is needed in order to deliver reasoned and thorough insight. The position gives you an excellent insight into the organization and this grounding of business acumen and customer insight is sure to stand you in good stead.
12.00-15.00 Years
Department Team Member - Credit Risk
Location Mumbai
Role Requirements
Credit Risk Analytics and Modelling - Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations.
Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards - in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques
In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators
Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams
Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis.
Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building.
Ensure reliability, integrity and consistency of reported and underlying data
Build and manage a team of like-minded data analysts and modellers
Pre-Requisites
Between 8 and 12 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of risk and data analytics - particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage.
Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable.
Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful.
Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches.
Above average to advanced excel skills
Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage
Message to potential applicants If your education and work experience have given you solid skills in diligence, quantitative analysis and communication, then you are the profile that we will be interested.While there is lot of data, a significant amount of human interpretation is needed in order to deliver reasoned and thorough insight. The position gives you an excellent insight into the organization and this grounding of business acumen and customer insight is sure to stand you in good stead.
12.00-15.00 Years
💡 Quick Summary
Seeking a career-building opportunity? The Team Member|SUPPORT SERVICES|Credit Industry Research position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
