Quantitative Risk and MRM role

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About the role :

Tiger Analytics is seeking an experienced

Quantitative Risk and Model Validation Lead Analyst

to join our Banking and Financial Services practice. This position will be part of the broader

Model Risk and Validation team , contributing to the design and validation of complex quantitative and mathematical models used across market risk, counterparty credit risk, and credit portfolio risk assessment.

You will be at the intersection of quantitative research and real-world applications, engaging with Finance, Treasury, and Business stakeholders to build, validate, and deploy models that support economic capital, risk measurement, pricing, and performance analytics. The role also offers a strong leadership component in mentoring junior analysts and overseeing model governance and compliance with regulatory frameworks.

As part of larger Financial Services practice, you may getto work on a broadrange of business-critical problems across various work streams. You will be engaging with clients and client partnersto understand theirbusiness context, and work witha team of data scientists and engineers.

Location : Hyderabad

Responsibilities

Job Responsibilities :

Design and validate advanced mathematical and statistical models used to evaluate economic and capital markets, including models for risk-neutral pricing, counterparty credit risk, and sector / industry risk.

Develop and validate macroeconomic quantitative models that forecast fundamental credit risk metrics such as default rates, charge-offs, severity, prepayments, and balance growth.

Build numerical simulation models for credit risk valuation and pricing of wholesale, retail, and structured credit exposures.

Translate quantitative research into high-impact business tools and insights for performance measurement, risk-adjusted pricing, and capital allocation.

Support model development and validation aligned with Basel, FDIC, and Federal Reserve regulatory frameworks.

Engage stakeholders across Finance and Risk functions to ensure proper integration and utilization of economic capital models.

Lead or contribute to documentation, compliance, and internal / external audit requirements.

Mentor and guide junior team members and review the quality of modeling deliverables.

Required Qualifications, Capabilities and Skills :

Degree

in a quantitative discipline such as

Mathematics, Statistics, or Physics .

10+ years of experience

in quantitative modeling, financial risk analytics, or model validation in commercial banking or major financial institutions.

Strong foundation in

stochastic processes, time series modeling, portfolio theory, and option valuation .

Deep understanding of

mathematical finance theories

and their applications in credit risk and market risk.

Experience in designing models aligned with regulatory frameworks (Basel, CCAR, FDIC, etc.).

Proficient in using

statistical and mathematical software

tools, and in working with

relational databases .

Desired Experience :

Expertise in quantitative risk modeling (credit, market, counterparty).

Prior experience working with

structured products

and

sector / industry risk assessment .

Ability to translate quantitative models into

value-added business tools

for risk management and capital planning.

Familiarity with

Economic Capital models

and

Risk-Adjusted Return on Capital (RAROC)

frameworks.

Desirable Skills :

Experience with regulatory models under

IRB, IFRS9, CECL, or CCAR .

Hands-on model development using

Python, PySpark, or SAS .

Experience in

credit risk strategy , including CLI, policy analytics, or scorecard development.

Exposure to

model risk governance

and working with internal / external audit or regulatory reviews.

Working with Tiger :

Latest Technology : You will get to work on the most advanced technologies like machine learning and artificial intelligence.

Global Exposure : We work for leading global brands. You will get exposure to global markets while working with international clients.

Learning & Development : We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow.

Growth Mindset : We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything. With this attitude, we can make significant progress in areas that we know very little about today. Here, you’ll work with people with a collective passion to explore the limitless potential of data to solve complex problems.

Additional Benefits : Health insurance (self & family), virtual wellness platform, fun, and knowledge communities.