Lead Quantitative Risk & Model Validation

Bank of England; Leeds; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Pension (career average)

Discretionary bonus

Benefits allowance

Annual leave 26 days

Private medical insurance

Income protection

Job summary

The Bank of England is seeking a senior quantitative professional to lead financial risk modelling and model validation within the Financial Risk & Resilience Division. You will present insights to executive committees and guide the development of risk and pricing models across the Bank.

Your role requires MSc-level mathematical knowledge, strong Python/C++/R/ Matlab skills, and the ability to communicate complex concepts clearly while managing a small team.

Qualifications

• Demonstrable communication skills, written and oral, to convey complex ideas to non-technical audiences.
• MSc level knowledge of financial mathematics including stochastic calculus, statistics, and econometrics.
• Proficiency in Python; strong understanding of asset pricing theory and pricing/sensitivity calculations for rates and credit products.
• Ability to lead in a collaborative, inclusive environment with senior stakeholders.
• Strong writing and presentation skills; effective relationship-building across teams.

Responsibilities

• Develop models for measuring and reporting financial risks to the Bank balance sheet.
• Perform formal validation of pricing and risk models used by Markets.
• Explain models to senior committees in non-technical language.
• Provide technical guidance on modelling and risk methodologies within the division.
• Line manage two analysts, overseeing work and conducting performance reviews.
• Collaborate with technical experts across the Bank to apply modelling expertise.

Skills

Financial risk modelling

Model validation

Stakeholder management

Python programming

Education

MSc in Financial Mathematics

Tools

Python

C++

R

Matlab

Job description

The Bank of England is seeking a senior quantitative professional to lead financial risk modelling and model validation within the Financial Risk & Resilience Division. You will present insights to executive committees and guide the development of risk and pricing models across the Bank.

Your role requires MSc-level mathematical knowledge, strong Python/C++/R/ Matlab skills, and the ability to communicate complex concepts clearly while managing a small team.