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    Quantitative Engineer- Leading Global Insurance Specialist - London, United Kingdom - Oxford Knight

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    Quantitative Engineer- Leading Global Insurance Specialist

    Under the leadership of the Chief Technology Officer, this London-based global insurance firm has launched a multi-year project to redevelop and modernize the full technology stack, encompassing pricing and other analytics, risk management, market data and trade capture and reporting.

    This project is nearing the end of phase one, which over the past year and a half of fast-paced exploration, design and delivery, has successfully delivered to production several key components and established the core engineering required for the new platform.

    As they move into phase two - which will involve multiple and varied projects running in parallel - there are opportunities for a select few new hires to join the project team.

    This is a rare chance to work with and learn from a team of extremely highly regarded, experienced and friendly software engineers.

    The engineering team are open to new technologies and creative ideas.
    Be part of the team responsible for the major build-out of functionality on the new platform, using a combination of Rust and Python
    Project including but not limited to:
    Market data processing
    Risk reporting
    Participate in BAU support rota (shared across Strats and Technology), providing useful opportunities to interact with colleagues across diverse areas of the business

    In general, my client is looking for smart, commercial, problem-solving-oriented, "get-things-done" candidates with a proven track record of delivering robust, high performance software and quantitative analyses and with either experience in financial markets or a keen interest to learn about them.

    Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.)
    A deep passion for technology and software development
    Excellence in applied programming skills - Python, Rust, C++ or other major languages (experience with the proprietary "securities language" Slang is not expected - but the role may involve some Slang development)
    Demonstrable, applied expertise in creating and validating pricing and/or risk models for use in a financial services organisation.
    A broad understanding of model risk, bringing new approaches and processes.
    Python programming experience
    A track record of contributions to an open source project
    Linux/Unix experience
    Microsoft Windows experience
    successfully handles multiple tasks, takes initiative to improve his/her own performance, works intensely towards extremely challenging goals and persists in the face of obstacles or setbacks
    Client and Business Focus - Effectively handles difficult requests, builds trusting, long-term relationships with clients and service providers, helps the client to identify/define needs and manages client/business expectations
    Sees the big picture and effectively analyses complex issues
    Creativity/Innovation - Looks for new ways to improve current processes and develop creative solutions that are grounded in reality and have practical value


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