Financial Engineer

MerQube
  • New York
    30+ days ago

    Job Description

    MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.

    MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, MerQube's platform enables its clients to bring ideas to market quickly and efficiently.

    Position Overview:

    We are seeking a highly skilled and motivated Financial Engineer to join our team in Manhattan, New York. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.

    Key Responsibilities:

    • Develop, model, and backtest new index strategies using Python, with a focus on financial data management.
    • Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.
    • Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.
    • Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.
    • Work with options data sets and applications such as FactSet, Reuters.

    Qualifications:

    • Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.
    • Proficiency in Python programming, with a focus on financial data management.
    • Strong options knowledge, including pricing, greeks, and portfolio applications is highly desirable.
    • Strong interest in financial markets and the intersection of software and quantitative finance.
    • Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).
    • Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.

    Our Commitment:

    At MerQube, we foster a collaborative, fast-moving environment where team members can grow and expand their technical, financial, and leadership skills. We prioritize wellness, work-life balance, and offer flexible working arrangements. We celebrate diversity and welcome team members from all backgrounds, encouraging continuous learning and career growth while playing a key role in transforming the financial industry.

    Benefits:

    • Pay that matches your ambition: competitive compensation packages that grow with you
    • Benefits that actually have your back: top-tier medical, dental, vision, and more
    • Work where you work best: flexible arrangements, including hybrid options
    • A team that feels like home: we're building a community-first culture
    • Your wellbeing, prioritized: real investment in health, wellness, and work-life balance
    • Room to grow, fast: hands-on opportunities to learn, level up, and shape your career
    • Lunch is on us: enjoy paid office lunches, because great ideas flow better on a full stomach
    • Time to recharge: generous PTO, holidays, and sick time, because rest fuels great work 

    This role is based in New York, NY. In accordance with New York's pay transparency law, the annual base salary range for this position is $110,000–$140,000. Actual compensation within this range will be determined by factors such as experience, technical skills, and qualifications relevant to the role. This range reflects base salary only and does not include bonus, equity, or benefits.

    Numbers & Facts

    LocationNew York

    Skills

    • Clean Technologiesunmatched
    • Cloud Architectureunmatched
    • Communication Skillsunmatched
    • Computer Programmingunmatched
    • Computer Scienceunmatched
    • Customer Relationsunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Distributed Computingunmatched
    • Diversityunmatched
    • Economicsunmatched
    • Engineering Managementunmatched
    • Establish Prioritiesunmatched
    • Financeunmatched
    • Financial Mathematicsunmatched
    • Futuresunmatched
    • Leadershipunmatched
    • Leading Edge Technologyunmatched
    • Legalunmatched
    • Mathematicsunmatched
    • Pricingunmatched
    • Python Programming/Scripting Languageunmatched
    • Software Engineeringunmatched
    • Team Playerunmatched

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