Model Risk Manager

Intercontinental Exchange Holdings, Inc.; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Quantitative Risk Manager to enhance its Model Risk Management team. This role offers a unique opportunity to validate and monitor risk models, ensuring their accuracy and compliance with regulatory standards. The successful candidate will engage in comprehensive model risk assessments, focusing on market, credit, and liquidity risks, while mentoring junior team members. Join a collaborative environment where your expertise can significantly impact risk management practices in the financial sector.

Qualifications

• Degree in Mathematics, Statistics, or Quantitative Finance required.
• Extensive experience in model validation and risk analytics.

Responsibilities

• Conduct independent validation of risk and pricing models.
• Document validation findings and recommend improvements.

Skills

Model Validation

Quantitative Analysis

Risk Analytics

Python

SQL

Communication Skills

Education

MSc in Mathematics

PhD in Quantitative Finance

Tools

NumPy

Pandas

Job description

Job Description

Job Purpose

ICE Clear Europe is seeking a Quantitative Risk Manager to join its Model Risk Management team. This role is responsible for validating and monitoring 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 broader model and management exposure in a collaborative and flat organizational structure.

Responsibilities

• Conduct independent validation of risk and pricing models and review of stress testing frameworks, including conceptual soundness, assumption reasonableness, and performance benchmarking.
• Continuously monitor model performance and review first-line risk management monitoring approaches.
• Document validation findings, communicate risks, and recommend improvements.
• Provide guidance on model usage and act as a key stakeholder liaison for new models and changes.
• Stay updated on evolving market practices, regulatory requirements, and quantitative methodologies.
• Mentor and support junior team members.

Knowledge and Experience

• Degree (MSc/PhD preferred) in Mathematics, Statistics, Quantitative Finance, or related field.
• Extensive experience in model validation, quantitative analysis, or risk analytics.
• Strong knowledge of market, credit, and 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.

Preferred

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