Head of Quantitative Risk Analytics

JR United Kingdom; City Of London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading global investment bank is seeking a Head of Quantitative Risk Analytics to oversee their Counterparty Credit Risk modelling function. This senior role involves managing model development and collaborating with various business units to enhance risk analytics through quantitative research and advanced tools.

Qualifications

• Master’s degree required, PhD preferred.
• Strong background in Quantitative Analysis and Model Development.
• Technical expertise in Python, R, and SQL.

Responsibilities

• Manage end-to-end modelling lifecycle for Counterparty Credit Risk.
• Build and maintain modelling infrastructure and quantitative research.
• Collaborate with stakeholders for effective model development.

Skills

Quantitative Analysis

Model Development

Risk Analysis

Python

R

SQL

Education

Master’s degree in a quantitative field

PhD in a quantitative field

Job description

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Head of Quantitative Risk Analytics, london (city of london)

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Client:

Cornwallis Elt

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

07.06.2025

Expiry Date:

22.07.2025

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Job Description:

Head of Quantitative Risk Analytics – Quantitative Finance, Counterparty Credit Risk, Model Development, Model Validation, Risk Analysis, Python, R, SQL, Numerix, - City of London, Permanent

A senior Quantitative Specialist is sought after by a Global Investment Bank to take ownership of their European Counterparty Credit Risk (CRR) modelling function, as part of the wider Risk Analytics group. In this role, you will be responsible for managing the end-to-end modelling lifecycle, being responsible for methodology, model design and development, through to implementation and validation, helping support local Counterparty Credit Risk Management.

This will be a multi-functional role, with responsibility for building and maintaining the modelling infrastructure and ecosystem, as well as undertaking quantitative research to keep models up to date ensuring the business have access to accurate analytics.

You will work closely with the business and other quantitative specialists for a cohesive model development process, including the implementation of highly accessible tools and dashboards for users to effectively undertake risk analysis.

To be successful, you will demonstrate:

• Minimum of a Master’s degree in the quantitative field, preferably having achieved a PhD
• A strong background in Quantitative Analysis and Model Development, with an in-depth understanding or pricing and risk calculations, particularly for Counterparty Credit Risk
• Technical expertise in Python, R and SQL
• Knowledge of integrating quantitative libraries and models into IT systems
• Excellent communication skills and a collaborative mindset to ensure effective partnership with the business and other Quantitative specialists

If you are a Quantitative Specialist with SME knowledge in Counterparty Credit Risk modelling looking for your next challenge with a rapidly expanding Investment Bank, please do apply!