Model Validation Specialist – Pricing Trans Management Consultants

The Corporate Institute; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

The Corporate Institute in Mumbai seeks an experienced Model Validation professional to join its Model Risk Management team. You will validate pricing models across asset classes, challenge assumptions, and present findings to senior stakeholders.

Ideal candidates have extensive quantitative analytics experience with strong programming skills in Python, R, MATLAB, SQL or C++. Regulatory governance and model inventory responsibilities are included.

Qualifications

• 6–12 years in Model Validation or related risk roles.
• Strong knowledge of derivative pricing and financial mathematics.
• Experience with pricing models across asset classes.
• Exposure to benchmarking, back-testing, stress testing and sensitivity analyses.
• Proficient in Python, R, MATLAB, SQL or C++.

Responsibilities

• Conduct independent validation of pricing models across asset classes.
• Assess model methodology, assumptions, limitations and implementation.
• Perform quantitative testing, benchmarking, back-testing, stress testing and sensitivity analysis.
• Independently replicate model outputs and challenge model development teams.
• Review calibration techniques, data usage, and valuation methods.
• Evaluate model performance and propose enhancements or remediation actions.
• Prepare detailed validation reports and present findings to committees and senior stakeholders.
• Partner with global teams including Front Office, Market Risk, Quantitative Research and Technology.
• Ensure compliance with internal governance and regulatory expectations.
• Contribute to model inventory management and ongoing monitoring.

Skills

Python

R

MATLAB

SQL

C++

Quantitative analytics

Education

FRM

CFA

CQF

MFE

Job description

About the Opportunity:

We are hiring for a leading global financial institution seeking an experienced Model Validation professional to join its Model Risk Management team. The role offers an opportunity to work on complex pricing models used across global markets businesses and contribute to independent model validation, governance, and regulatory compliance initiatives.

The successful candidate will be responsible for reviewing and validating pricing methodologies, challenging model assumptions, performing quantitative testing, and partnering with model developers, risk teams, and senior stakeholders.

Key Responsibilities:

• Conduct independent validation of Pricing Models across asset classes including Interest Rate, FX, Credit, Equity, and other derivatives.


• Assess model methodology, theoretical soundness, assumptions, limitations, and implementation.


• Perform quantitative testing, benchmarking, back-testing, stress testing, and sensitivity analysis.


• Independently replicate model outputs and challenge model development teams where required.


• Review calibration techniques, market data usage, and valuation methodologies.


• Evaluate model performance and recommend enhancements or remediation actions.


• Prepare detailed validation reports and present findings to Model Risk Committees and senior stakeholders.


• Partner with global teams including Front Office, Market Risk, Quantitative Research, and Technology.


• Ensure compliance with internal governance standards and regulatory expectations.


• Contribute to model inventory management, annual reviews, and ongoing model monitoring activities.

Desired Skills & Experience:

• 6 – 12 years of experience in Model Validation, Model Risk Management, Quantitative Analytics, Pricing Analytics, Market Risk, or Quantitative Research.


• Strong understanding of derivative pricing methodologies and financial mathematics.


• Hands‑on experience with pricing models covering one or more asset classes: Interest Rate Derivatives, FX Derivatives, Credit Derivatives, Equity Derivatives, or Structured Products.


• Exposure to model validation techniques including benchmarking, back‑testing, stress testing, and sensitivity analysis.


• Strong quantitative foundation in probability, stochastic processes, numerical methods, or financial engineering.


• Excellent programming skills in Python, R, MATLAB, SQL, C++, or related technologies.


• Familiarity with regulatory model risk frameworks and governance practices.


• Strong written and verbal communication skills with the ability to challenge and influence stakeholders.

Preferred Qualifications:

• FRM, CFA, CQF, MFE, Financial Engineering, Mathematics, Statistics, Physics, Economics, or related quantitative disciplines.


• Experience working within global banking, investment banking, consulting, or risk management environments.


• Exposure to Monte Carlo methods, yield curve construction, calibration frameworks, and advanced derivative valuation techniques.

What We Offer:

• Opportunity to work on complex global pricing models.


• Exposure to senior stakeholders and global model risk teams.


• Strong career progression within Model Risk Management.


• Competitive compensation and benefits.


• Collaborative and intellectually stimulating work environment.