Senior Quantitative Analyst

Quanteam UK

Greater London

On-site

GBP 90,000 - 130,000

Full time

4 days ago
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Job summary

Quanteam UK is seeking an experienced Senior Manager or Director to join our Quantitative Finance advisory practice. You will leverage advanced quantitative expertise to advise clients on derivatives modelling, risk and valuation methodologies, and contribute to strategic decisions and growth.

You will lead engagements, design pricing and risk models, and provide thought leadership while mentoring teams and ensuring best-practice governance.

Qualifications

  • Post-graduate degree in mathematical finance, science or maths from a top-tier university.
  • 8–12 years of relevant experience in quantitative modelling and derivatives pricing within financial services.
  • Solid background in stochastic calculus and data science including AI/ML techniques.
  • Experience with flow and exotic products in one or more asset classes.
  • Strong programming skills and familiarity with software development processes.

Responsibilities

  • Lead small and large multi-disciplinary engagements and manage client relationships.
  • Design and develop quantitative models and analytics tools (e.g. derivatives pricing, XVA, risk modelling).
  • Provide thought leadership in quantitative methodologies, pricing techniques, risk and valuation frameworks.
  • Lead project teams, mentor junior members, ensure high-quality deliveries and governance.
  • Support content generation and business development initiatives, including identifying new opportunities.

Skills

Quantitative modelling
Derivatives pricing
Stochastic calculus
C++/Python
Data science / AI/ML

Education

Post-graduate degree in mathematical finance

Tools

C++
Python

Job description

We are seeking an experienced Senior Manager OR Director (SVP to Director Level) to join our Quantitative Finance advisory practice, focused on delivering quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on derivatives modelling, risk and valuation methodologies, contributing directly to their strategic decision-making and business growth. As part of your responsibilities, you will:

  • Lead small and large multidisciplinary engagement and manage client relationship
  • Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling)
  • Provide thought leadership in quantitative methodologies, pricing techniques, risk and valuation frameworks and industry best practices
  • Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards
  • Support content generation and business development initiatives, including identifying new opportunities and developing proposals
Your competences
Technical
  • Post-graduate degree in mathematical finance, science or maths from a top tier university
  • Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services
  • Solid background in stochastic calculus and data science including AI/ML techniques
  • Experience with flow and exotic products in one or more asset classes
  • Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development processes and tooling
Behavioural
  • Strong communication, team spirit and ability to collaborate with relevant stakeholders (e.g. Trading/Structuring/Technology/Risk/Finance)
  • Strong leadership and drive capabilities
  • Excellent problem-solving capabilities and analytical thinking

We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

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