About the role
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. 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
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
Trading/Structuring/Technology/Risk/Finance)
Benefits & Inclusion
Competitive salary and performance bonus
~ Private medical insurance, including mental health support
~ Pension
~25 days annual leave
~ Cycle to work, Perks at work, Home and tech
~ Training and development opportunities
Diversity drives innovation and strengthens our ability to deliver exceptional results.
About this listing
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