Model Validation- Market Risk & Liquidity Risk

Solytics Partners; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Solytics Partners is a Global Analytics firm seeking an experienced risk professional to perform independent validation of market risk and liquidity risk models in a regulatory-compliant environment. The role requires strong quantitative skills and hands-on validation experience in risk management.

The ideal candidate has 5–8 years in Enterprise Risk Management, familiarity with VaR/ES, and proficiency in Python, R, SAS, or MATLAB.

Qualifications

• 5–8 years of experience in Enterprise Risk Management or quantitative risk modelling.
• Proven hands-on experience in independent model validation.
• Solid understanding of market risk methodologies.
• Experience validating liquidity risk models.
• Strong statistical and quantitative analysis skills.
• Proficiency in Python, R, SAS, or MATLAB.

Responsibilities

• Conduct independent validation of market risk and liquidity risk models.
• Validate models used for market risk measurement (VaR and ES).
• Validate liquidity risk measurement and forecasting models.
• Perform statistical testing, back-testing, benchmarking, and scenario analysis.
• Assess data quality, model inputs, assumptions, and limitations.
• Ensure validation activities align with regulatory guidelines and internal policies.
• Prepare detailed validation reports covering methodology reviews and testing results.
• Collaborate with model developers and risk management teams.
• Support periodic model reviews and performance monitoring.

Skills

Independent validation

Market risk methodologies

Liquidity risk models

Statistical modelling

Python

R

SAS

MATLAB

Education

Postgraduate degree in Quantitative Finance or related discipline

Tools

Python

R

SAS

MATLAB

Job description

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. We are looking for an experienced risk professional with a strong background in Enterprise Risk Management and independent model validation, particularly across Market Risk and Liquidity Risk. The candidate will be responsible for assessing the conceptual soundness, performance, limitations, and ongoing effectiveness of risk models used by financial institutions.

Responsibilities

• Conduct independent validation of market risk and liquidity risk models.
• Validate models used for market risk measurement, including Value at Risk (VaR) and Expected Shortfall (ES).
• Validate liquidity risk measurement and forecasting models.
• Perform statistical testing, back-testing, benchmarking, and scenario analysis.
• Assess data quality, model inputs, assumptions, and limitations.
• Ensure validation activities align with regulatory guidelines and internal policies.
• Prepare detailed validation reports covering methodology reviews and testing results.
• Collaborate with model developers and risk management teams.
• Support periodic model reviews and performance monitoring.

Requirements

• 5-8 years of relevant experience in Enterprise Risk Management or quantitative risk modelling.
• Strong hands-on experience in independent model validation.
• Good understanding of market risk methodologies.
• Experience validating liquidity risk models.
• Strong knowledge of statistical modelling and quantitative analysis.
• Proficiency in Python, R, SAS, or MATLAB.

Preferred

• Postgraduate degree in Quantitative Finance or related discipline.
• Experience working with banking risk frameworks.
• Familiarity with regulatory expectations relating to market risk.
• Exposure to treasury and balance sheet risk models.