Model Risk Manager - Intercontinental Exchange

ZipRecruiter; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for 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 compliance with regulatory standards. The position promises exposure to various risk frameworks, including market, credit, and liquidity risk, within a collaborative environment. Ideal candidates will possess a robust background in quantitative analysis and risk analytics, alongside proficiency in Python and SQL. If you are eager to make a significant impact in a dynamic setting, this role could be the perfect fit for you.

Qualifications

• Degree in Mathematics, Statistics, or Quantitative Finance.
• Extensive experience in model validation and quantitative analysis.
• Industry certifications like PRM, FRM, or CFA.

Responsibilities

• Conduct independent validation of risk and pricing models.
• Continuously monitor model performance and document findings.
• Mentor junior team members and provide guidance on model usage.

Skills

Model Validation

Quantitative Analysis

Risk Analytics

Python

SQL

Statistical Risk Modelling

Communication Skills

Education

MSc/PhD in Mathematics

MSc/PhD in Statistics

MSc/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 ) 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.

• 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.