Senior Quant Model Developer - Specialized Lending

UBS; Mumbai; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

UBS in Mumbai seeks a Quantitative Risk Modeler to develop and maintain Pillar 1 IRB Credit Risk models (PD, LGD, Slotting) and validate their performance in regulatory contexts.

The role requires strong quantitative modelling skills, proficiency in SQL and Python/R, and collaboration with risk control teams to ensure accurate, production-ready implementations while aligning with Basel standards.

Qualifications

• 8+ years of quant modelling experience in the finance sector.
• Credit Risk modelling (Pillar 1, stress testing) and Basel framework.
• Experience with low-default and/or bespoke portfolios is a plus.
• Proficient in SQL and R/Python.
• Master’s/PhD in quantitative field.
• You’re curious to explore how AI can improve workflows with sound judgment.

Responsibilities

• Develop and maintain Pillar 1 IRB Credit Risk models (PD, LGD, Slotting).
• Assess model performance by defining quantitative tests and investigating gaps.
• Interact with senior Risk Control stakeholders to ensure proper use.
• Collaborate with other quantitative analysts to ensure correct implementation in production environments.
• Escalate and disclose information regulators would reasonably expect.

Skills

SQL

Python

R

Quant modelling

Regulatory knowledge Basel

AI awareness

Communication

Education

Master's/PhD in quantitative field

Job description

Your role

Are you interested in quantitative risk modelling and knowledgeable of statistical, mathematical and econometrical models used in the financial industry? Are you an innovative thinker who likes to challenge the status quo and apply new analytical techniques to solve quantitative problems?

Your role

Are you interested in quantitative risk modelling and knowledgeable of statistical, mathematical and econometrical models used in the financial industry? Are you an innovative thinker who likes to challenge the status quo and apply new analytical techniques to solve quantitative problems?

At UBS, we re‑imagine the way we work, the way we connect with each other – our colleagues, clients and partners – and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.

We’re looking for a Quantitative Risk Modeler to:

• develop and maintain Pillar 1 IRB Credit Risk models (PD, LGD, Slotting), including conceptual development, data analysis, prototype coding, documentation and support in the interaction with regulatory and audit stakeholders
• assess model performance by defining and performing quantitative tests and investigating potential gaps
• independently interact with senior Risk Control stakeholders to ensure that the models are correctly used and that they reflect the views of subject matter experts.
• collaborate with other quantitative analysts to share insights and work closely with cross-functional team members to ensure the correct implementation of models in productive environments
• ensure escalation and disclosure of any information of which applicable regulators would reasonably expect notice

Job Type

Full Time

Job Reference #

336917BR

City

Mumbai

Your team

You’ll be working in the CH & US Mortgages, Corporates & Specialized Lending Capital Models as a member of the Specialized Lending Capital Models team in Mumbai focusing on the development of Pillar 1 Credit Risk models for Specialized Lending products. We’re an international team with members in Switzerland, Poland, India with a diverse mix of seniorities and backgrounds.

Your expertise

• ideally 8+ years of quant modelling experience within the finance sector, with strong know-how in basic modeling concepts (e.g., logistic regression, decision trees)
• previous experience with Credit Risk modeling (Pillar 1, stress testing) and the Basel regulatory framework
• experience in low-default and/or bespoke portfolios is a plus
• proficient in SQL and R/Python
• self-driven, organized and detail-oriented with a solid understanding of banking industry
• Master’s/PhD degree or equivalent in a quantitative field (mathematics, statistics, physics, computer science or engineering etc.)
• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.

About Us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets across the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.