Senior FSRM Risk Consultant

EY; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

EY's Financial Services Risk Management (FSRM) team seeks a Senior Consultant for the Quantitative Banking Book (QBB) to advance risk modelling and validation for banking portfolios. You will apply advanced statistical methods, develop analytics, and support regulatory initiatives across global banks, including lending and credit risk domains.

Responsibilities include leading model audits, mentoring juniors, and delivering robust documentation while collaborating with stakeholders to drive risk

Qualifications

• Postgraduate (masters) in accounting, finance, economics, statistics or related field with at least 3 years of related work experience.
• Regulatory knowledge in IFIRB, CCAR, CECL, Stress Testing, DFAST.
• Professional certifications (FRM, SCR, CFA, PRM are a plus) (not required).

Responsibilities

• Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products.
• Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business.
• Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes.
• Play an active role in mentoring junior consultants within the organization.
• Required to review, analyse and concur with tasks completed by junior staff.
• Flexibility to work across projects involving model audits, validation and development activities.

Skills

Quantitative risk modeling

Python (Pandas)

SAS

SQL

R

Credit risk

Regulatory knowledge

Communication

Education

Masters in accounting/finance/economics/statistics

Tools

Python

SAS

SQL

R

Excel

Scikit-Learn

Job description

Job Summary

Business Consulting QAS- Quantitative Banking Book (QBB)

Profile: Senior Consultant

The Opportunity

This role offers the opportunity to work within EY's Financial Services Risk Management (FSRM) group, supporting leading global financial institutions in identifying, measuring, and managing risk including trading book market risk & counterparty credit risk, banking book credit risk, operational risk, and regulatory requirements.

As part of the Quantitative Banking Book (QBB) team within FSRM, you will contribute to strategic and functional transformation across risk management within the banking portfolio. You will apply quantitative skills to enhance risk estimation processes, support regulatory compliance, and develop analytics that drive better decision making for clients with lending activities. This is an opportunity for quant professionals looking to work on models, regulatory initiatives, and high impact capital markets engagements across banks, including large domestic and global financial institutions.

Your key responsibilities

• Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products
• Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business
• Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes
• Play an active role in mentoring junior consultants within the organization
• Required to review, analyse and concur with tasks completed by junior staff
• Flexibility to work across projects involving model audits, validation and development activities

Skills and attributes for success

• Complete, end-to-end understanding of credit risk model development or validation for the banking book portfolio (PD/LGD/EAD)
• Should have hands on experience in data preparation, manipulation and consolidation
• Expertise in Stress Testing models and/or PD/LGD/EAD models
• Solid grounding in statistics and econometrics, especially logistic regression, linear regression, fractional response, decision tree
• Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document
• Strong knowledge in regulatory modelling (ECB/PRA/HKMA/Regulators) with model development/validation experience
• Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel
• Should be able to take initiative and work independently with minimal supervision, if required
• Awareness of emerging AI/ML methodologies and their use in risk management, model validation, and quantitative workflow automation (experience in AI/ML will be preferred)
• Basic AI knowledge, excellent communication, analytical thinking, and problem solving skills

Ideally, You Will Also Have

• Good to have knowledge in Machine Learning models and its applications
• Advanced knowledge in AI is good to have.
• Previous project management experience

What We Look For

• Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience
• Regulatory knowledge in IFIRB, CCAR, CECL, Stress Testing, DFAST
• Professional certifications (FRM, SCR, RAI, CFA, PRM are a plus)
• Ability to work in a fast-paced environment and support engagements with global financial institutions
• Willingness to travel based on client needs.