Jobs

    Commodities Quant Researcher - Singapore - BALYASNY ASSET MANAGEMENT (SINGAPORE) PTE. LTD.

    BALYASNY ASSET MANAGEMENT (SINGAPORE) PTE. LTD.
    BALYASNY ASSET MANAGEMENT (SINGAPORE) PTE. LTD. Singapore

    1 week ago

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    Description
    Roles & Responsibilities

    Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.

    POSITION SUMMARY

    The Commodities Quant Researcher will be based in our Singapore office as part of a team investing across strategies focusing on commodities

    ROLE OVERVIEW

    Responsibilities include, but are not limited to:

    Research on alternative data while working alongside a Commodities Portfolio Manager

    Communicating with data providers and inhouse data analysts

    Building and maintaining full stack applications

    Quantamental analysis on the commodities market, including but not limited to, bulks, metals, industrials

    REQUIREMENTS

    · Bachelor's degree or the equivalent in Business, Business Administration, Finance, Economics, Mathematics or Engineering from a reputable university.

    · 3 years of metals or bulks experience from firms including but not limited to Hedge Funds, Trading Houses, Prop Desks or Banks

    · Experience on quantitative research and signal generation

    · Strong machine learning and deep learning capabilities

    · High proficiency in conversational and written English and Mandarin language to communicate effectively with relevant stakeholders

    · Python and SQL based programming skills for data processing and analysis required

    · Ability to identify and quantify alternative datasets in the commodities space

    Tell employers what skills you have

    Machine Learning
    Asset Management
    Written English
    Quantitative Research
    Mathematics
    Administration
    Economics
    SQL
    Python
    Capital
    Arbitrage
    Hedge Funds
    Equities
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