About Us:

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.

Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Summary:

We are looking for an experienced risk skilled 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. The role involves reviewing model methodologies, evaluating underlying assumptions, conducting quantitative tests, performing independent benchmarking and back-testing, and documenting validation findings in line with regulatory expectations and internal model risk governance frameworks.

Key Responsibilities:

- Model Validation: Conduct independent validation of market risk and liquidity risk models, assessing conceptual soundness, theoretical foundations, model assumptions, and implementation.
- Market Risk Models:



Validate models used for market risk measurement, including Value at Risk (VaR), Expected Shortfall (ES), stress testing, sensitivity analysis, and other relevant market risk metrics.
- Liquidity Risk Models: Validate liquidity risk measurement and forecasting models, including liquidity stress testing, cash flow projections, liquidity coverage analysis, and behavioural assumptions related to deposits and funding, where applicable.
- Quantitative Analysis: Perform statistical testing, back-testing, benchmarking, sensitivity analysis, and scenario analysis to evaluate model performance and robustness.
- Model Assumptions & Limitations: Assess data quality, model inputs, assumptions, parameter estimation, limitations, and the appropriateness of methodologies under different market and economic conditions.
- Regulatory & Governance Compliance: Ensure validation activities align with applicable regulatory guidelines, internal model risk management policies, and established validation standards.
- Documentation & Reporting: Prepare detailed validation reports covering methodology reviews, testing results, identified limitations, findings, and recommendations.
- Stakeholder Management: Collaborate with model developers, risk management teams, treasury teams, and other stakeholders to discuss findings, recommend remediation actions,



and monitor issue resolution.
- Ongoing Monitoring: Support periodic model reviews, performance monitoring, and reassessment of models following material changes in methodologies, portfolios, or market conditions.

Key Requirements:

- 5–8 years of relevant experience in Enterprise Risk Management, quantitative risk modelling, model validation, or independent risk review within banking, financial services, or consulting.
- Strong hands-on experience in independent model validation, preferably across Market Risk and/or Liquidity Risk.
- Good understanding of market risk methodologies, including VaR, Expected Shortfall, stress testing, and back-testing.
- Experience validating liquidity risk models, including liquidity stress testing, cash flow forecasting, funding assumptions, or behavioural modelling.
- Strong knowledge of statistical modelling, quantitative analysis, sensitivity testing, and scenario analysis.
- Proficiency in Python, R, SAS, MATLAB, or similar analytical tools; experience with SQL is an advantage.
- Ability to critically evaluate model methodologies, assumptions, data, limitations, and performance.
- Strong documentation, analytical, problem-solving, and stakeholder communication skills.

Preferred Qualification:

- Postgraduate degree in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Economics, or a related discipline.
- Experience working with banking risk frameworks and model risk management governance.
- Familiarity with regulatory expectations relating to market risk, liquidity risk, and model validation.
- Exposure to treasury and balance sheet risk models is an advantage.

📌 Model Validation- Market Risk & Liquidity Risk (Maharashtra)
🏢 Solytics Partners
📍 Maharashtra