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    Quantitative Risk Analyst - London, United Kingdom - Morgan McKinley

    Morgan McKinley
    Morgan McKinley London, United Kingdom

    1 week ago

    Default job background
    Undefined
    Description

    Our Client is a multi-strategy hedge fund investing in a broad range of asset types including equities, commodities, and fixed income products.


    The firm is looking to recruit a Quantitative Risk Analyst in the Risk Management team in charge of covering the fund's Global Commodities & Quant Futures/FX strategies.

    Job Function Summary

    The Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis, and participate in the implementation of add-hoc simulation models for risk measurement (e.g. VaR improvement, scenario analysis etc.).

    Principal Responsibilities

    Build data analysis models to identify patterns in portfolio managers performance and highlight top pnl and risk drivers (eg factor models, risk decomposition)

    Design and implementation of risk and scenario GUI / visualization tools (dashboards).

    Development of option pricing & volatility models in partnership with the Quant Technology team

    Handling of large data sets, use of machine learning techniques to enhance traditional risk measures.


    The role with collaborate with risk managers across asset classes as well as various technology and data teams within the firm, capturing requirements, and monitoring delivery.

    Regular interaction with portfolio managers across Europe and Asia.

    Qualifications/Skills Required

    Masters or PhD level training in quantitative field, e.g. Engineering, Computer science, Mathematics or Physics


    Min 3 yrs professional experience in Trading, Structuring, Risk or Quant role, in Financial institution, Fintech, Trading house, or Commodities house.


    Strong coding skills required:
    Python, proficiency in data science stack (Pandas, scikit-learn or equivalent), SQL. Familiarity with GUI development (Dash, Panel or equivalent).


    Experience designing, developing and deploying trading tools and GUIs and at least one of the following: risk models, option pricers, alpha signals, portfolio optimizers, trading algorithms.

    Experience in an alpha research, portfolio optimization, Commodities or Trading environment is a plus.


    Candidate will need to fit into the active culture , judged by the ability to deliver timely solutions to risk management issues within the firm.


    Entrepreneurial inclination:
    ability to work alone and act as a project manager.

    Strong communication skills both written and verbal. Good team player - one who is able to prioritize in a fast moving, high pressure, constantly changing environment.

    Ability to work with Portfolio Managers and foster collaborative relationships.

    Proactive, assertive and attentive to details.

    Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.


    BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.

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