Quantitative Risk & Model Validation Specialist

Harnham; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Harnham is seeking a Quantitative Analyst to join a research-led risk team within a leading investment environment in London. You will validate models, conduct research on performance and limitations, and present findings to governance committees.

The role emphasizes stakeholder engagement, model governance, and automation development to improve risk processes. Strong Python and a STEM background are essential, with experience in quantitative modelling or model validation.

Qualifications

• Validate and challenge quantitative models across the business.
• Research model performance, assumptions and limitations.
• Produce model validation reports and recommendations.
• Present findings to senior stakeholders and governance committees.
• Support the enhancement of risk models and analytical tools.
• Develop automation and tooling to improve risk processes.

Responsibilities

• Validate and challenge quantitative models across the business.
• Conduct research into model performance, assumptions, and limitations.
• Produce model validation reports and recommendations.
• Present findings to senior stakeholders and governance committees.
• Support the enhancement of risk models and analytical tools.
• Develop automation and tooling to improve risk processes.

Skills

Python

Quantitative modelling

Model validation

Risk

Stakeholder management

Education

STEM degree in quantitative discipline

Job description

Harnham is seeking a Quantitative Analyst to join a research-led risk team within a leading investment environment in London. You will validate models, conduct research on performance and limitations, and present findings to governance committees.

The role emphasizes stakeholder engagement, model governance, and automation development to improve risk processes. Strong Python and a STEM background are essential, with experience in quantitative modelling or model validation.