Senior Analyst, Risk Management FTC

Intercontinental Exchange (ICE); Greater London; Sur place; GBP 75 000 - 110 000; Plein temps

Résumé du poste

Intercontinental Exchange (ICE) Clear Europe seeks a Senior Model Risk Analyst to join the Model Risk Management team. The role validates and monitors pricing and risk models used by the clearing house, ensuring accuracy, robustness, and regulatory compliance across margin, add-ons, and stress testing.

You will assess market, credit, and liquidity risk, develop validation tools, and contribute to continuous model improvement within a collaborative, flat organization at the heart of financial

Qualifications

• Advanced degree (MSc/PhD) in Mathematics, Statistics, Quantitative Finance, or related field.
• 3+ years of experience in model validation, quantitative analysis, or risk analytics.
• Strong knowledge of market, credit, or liquidity risk frameworks.
• Proficiency in Python and SQL for data analysis.
• Understanding of option pricing theory and statistical risk modelling (VaR, Backtesting, Stress Testing).
• Excellent verbal and written communication skills.

Responsabilités

• Conduct independent validation of risk and pricing models and review stress testing frameworks.
• Document validation findings, communicate risks, and recommend improvements.
• Continuously monitor model performance and drive risk-mitigating actions.
• Provide guidance on model usage and act as liaison for new models and changes.
• Review model change and calibration proposals.
• Stay updated on evolving market practices and regulatory requirements.
• Provide technical interpretations to regulatory text.
• Utilise programming skills to execute validation tasks and develop tools.

Connaissances

Python programming

Statistical analysis

Communication skills

Formation

Master's/PhD in Mathematics, Statistics, Quantitative Finance

Outils

Python (NumPy, Pandas)

SQL

Description du poste

Job Purpose

With approximately 5 million contracts cleared every day across multiple asset classes, ICE Clear Europe (ICEU) is one of the world’s most diverse and leading clearing houses. As a clearing house, ICEU performs a critical role in ensuring market stability especially through periods of volatility and increased uncertainty. It provides central counterparty clearing and risk management services for global energy, interest rate, equity index, and agricultural derivatives.

We leverage advanced quantitative models to effectively manage market risk for exchange-traded derivatives, credit risk of clearing members and counterparties, and liquidity risk associated with posted collateral. Our risk framework ensures resilience in dynamic market conditions while upholding the highest regulatory and operational standards.

The Model Risk Management team, part of the Risk Oversight Department, is responsible for all aspects of model risk, encompassing model governance & control, model validation, and model performance monitoring across a wide range of applications.

ICE Clear Europe is seeking a Senior Model Risk Analyst to join its Model Risk Management team. This role is responsible for validating and monitoring pricing and risk models used in the clearing house, ensuring their accuracy, robustness, and compliance with regulatory standards. The position involves end-to-end model risk assessment across initial margin, add-ons, and stress testing frameworks, with a focus on market, credit, and liquidity risk.

This is an exciting opportunity for a technical expert looking for broad model exposure in a collaborative and flat organizational structure at the centre of financial markets.

Responsibilities

• Conduct independent validation of risk and pricing models and review of stress testing frameworks, including conceptual soundness, assumption reasonableness, and performance benchmarking.
• Document validation findings, communicate risks, and recommend improvements.
• Continuously monitor model performance, review first-line risk management monitoring approaches, and identify and drive model changes or risk mitigating actions.
• Provide guidance on model usage and act as a key stakeholder liaison for new models and changes
• Review model change and calibration proposals
• Stay updated on evolving market practices, regulatory requirements, and quantitative methodologies.
• Provide technical interpretations to regulatory text
• Utilise programming skills to execute validation tasks and develop technical capabilities and tools for model testing, model monitoring and other related analytics.

Knowledge and Experience

• Advanced degree (MSc/PhD) in Mathematics, Statistics, Quantitative Finance, or related field.
• 3+ years of experience in model validation, quantitative analysis, or risk analytics.
• Strong knowledge of market, credit, or liquidity risk frameworks.
• Proficiency in Python (NumPy, Pandas, etc.) and SQL for data analysis.
• Strong understanding of option pricing theory and statistical risk modelling techniques (VaR, Backtesting, Stress Testing).
• Excellent verbal and written communication skills.

Desirable Knowledge and Experience

• Industry certifications (PRM, FRM, CFA).
• Experience in a clearing house, trading firm, bank or similar financial institution.
• Knowledge of SR 11-7 model risk guidelines and exchange-traded derivatives.