Team Member-SUPPORT SERVICES-Credit Industry Research

Kotak Mahindra Bank

Nov 11, 2024

Applications are closed

Job
Full-time
Mid & Senior Level
Data
Banking & Finance
Mumbai

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 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. This is the main requirement of the role and the individual should have a good knowledge of this function.
Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management.
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
About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage.
Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage.
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
CA or MBA with FRM preferred
Understanding analysis of various types of credits
Proven management and supervisory skills
Excellent interpersonal skills, verbal/written communication skills and strong project management skills
Above average to advanced excel skills
Experience in working with Python, SQL or SAS would be an added advantage.

Responsibilities

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 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. This is the main requirement of the role and the individual should have a good knowledge of this function.
Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management.
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.

FAQs

What is the main role of a Team Member in Credit Risk Analysis?

The main role involves analyzing, modeling, validating, and documenting various measures of Credit Risk for use in Expected Credit Loss and Capital computations, as well as developing insights from data and communicating these to Risk, Credit, and Business teams.

What qualifications are preferred for this position?

A degree in statistics, mathematics, or econometrics is preferred, along with professional qualifications or experience in statistical model development, implementation, and validation.

How many years of experience are required for this role?

The position requires about 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, or Rating Agency, specifically related to working with PD, LGD, ECL, and EAD.

What technical skills are needed for the role?

Proficiency in Python, SAS, or R is essential, along with intermediate SQL skills. Experience with data consolidation and automation in risk or financial reporting is also advantageous.

What are the key responsibilities of this position?

Key responsibilities include building and validating credit risk models, preparing reports for regulators and senior management, working with large data sets, ensuring data reliability, and developing risk dashboards for Senior Management.

Is experience in risk reporting or financial reporting important?

Yes, exposure to risk reporting or financial reporting would be considered an advantage.

What additional skills are beneficial for candidates applying for this position?

Skills in managing and supervising teams, excellent interpersonal and communication skills, project management abilities, and advanced Excel skills are beneficial, along with experience in Python, SQL, or SAS.

What is the reporting relationship for this role?

The role reports to the Team Lead of Credit Risk.

Where is this position located?

This position is based in Mumbai.

Are there any specific certifications that are preferred for this role?

Yes, a CA or MBA with FRM (Financial Risk Manager) designation is preferred.

Kotak Mahindra Bank

Finance

Industry

10,001+

Employees

Mission & Purpose

Kotak Mahindra Bank is a leading Indian financial services conglomerate that offers a wide range of banking and financial products, including personal, corporate, and investment banking services. They provide solutions such as loans, savings accounts, insurance, asset management, and wealth management. Kotak Mahindra Bank’s ultimate mission is to drive growth by delivering innovative and customer-centric financial services while maintaining the highest standards of integrity and professionalism. Their purpose is to empower individuals, businesses, and institutions by offering tailored financial solutions that enhance their financial well-being and support economic progress.