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    Fixed Income Financing Quant VP

    LondonPermanentCompetitive
    Back to job search
    5 hours ago
    JN -082026-2006495
    New

    Fixed Income Financing Quant VP

    London Permanent Competitive

    Fixed Income Financing Quant VP

    About the job

    Reporting to the Head of Financing Quants and working under close supervision.
    Overall
    The main responsibilities of the role are to:
     Maintain and enhance pricing analytics, co-ordinate and share knowledge with quants in other
    locations, improve interfaces, optimise code, follow the team's best practices.
     Develop, test, deliver and support tools based on analytics libraries
     As and when needed liaise with relevant internal functions such as various teams in the IT Department
    and Market Risk
     Help the bank adapt to new regulations and capital charges by providing tools to estimate their
    impacts

    Development of quantitative methodologies
     Pricing libraries of Fixed Incomed Financing products
     Participate in the modelling of non-liquid collateral and other credit collateral
     Participate in the development to help the management of the optimization of resources, capital and
    liquidity

    Internal Relationships
     Participate in the global research and development effort on the modelling of Credit products
     Efficient and professional interaction with the various Financing stakeholders
     Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT
    and Market Risk) and Research globally
     Interact with traders over functionality requirements, deliveries and support of existing functionality
     As appropriate liaise with relevant internal risk functions: Legal, Compliance, Market and Credit Risk
    Management
     Maintain open communication with team and direct line management to fulfil firm notification
    requirements and pass on client concerns

    Experience, Qualifications & Competencies
    EXPERIENCE
     Master or PhD degree qualification in mathematics, statistics, physics, engineering or
    finance/econometrics
     Knowledge of quantitative finance (knowledge of stochastic calculus and structured/exotic derivatives
    is advantageous but not required)
     Strong mathematics and numerical techniques, e.g., linear algebra, root finding, finite differences
     Good knowledge of Fixed Income, Equity & Commodity products
     Strong programming skills with experience gained in a context of quantitative research (model
    implementation in an analytics pricing library)
     5+ years of experience in a quantitative role with experience in Python and C++
     working experience in at least one of the following fields:
    - balance sheet and resource optimization
    - modelling of non-liquid collateral
    - short covering / pre trade pricing and market signal
    - C++ developer interested in library transformation / refactorization

    © 2026 Morgan McKinley
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