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    Quantitative Analyst - Boston, United States - Equilibrium Energy

    Equilibrium Energy
    Equilibrium Energy Boston, United States

    4 weeks ago

    Default job background
    Description
    What we are looking for

    Equilibrium was founded with a vision for building a company where innovation, collaboration, machine learning, and data science power all aspects of our algorithmic decision-making.

    We are looking for

    staff / sr staff

    quantitative analysts

    with a heavy focus on

    trading strategy research and development in the energy space


    to accelerate the maturation of our quantitative trading business, while helping to shape the science-driven products, tools, & processes that will drive the future success of our company.

    As a key member of our sciences group, you will play an active role in a) cultivating our culture of experimentation, signal discovery, and incremental delivery, b) facilitating research into profitable strategy development and energy market dynamics, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional trading analysts, and d) partnering with our engineers, product managers, scientist, and commercial team to influence the near to medium term product roadmap.

    What you will do
    Use research insights to shape product direction
    :

    Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction.

    Initiate and lead cross-functional engagements to surface, prioritize, formulate, and structure complex and ambiguous challenges where advanced novel quantitative analytics or machine learning techniques can drive outsized company trading impact.

    Trading performance analytics
    :

    Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.

    Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain
    :

    Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests.

    Drive the design, specification, development, and production deployment of our suite of novel quantitative trading solutions.

    Lead short to medium term research projects that advance the state-of-the-art in quantitative research techniques, as applied to energy asset management and financial trading.

    The minimum qualifications you'll need

    Passion for clean energy and fighting climate change

    An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline

    6+ years experience in quantitative research & analytics, automated systematic financial trading, or similar role, in the US Power Markets

    4+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc)

    Experience in the electricity and energy domain (e.g. wholesale market prices)

    Experience developing, releasing, and tracking performance of quantitative trading strategies in production

    Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences

    A collaboration-first mentality, with a willingness to teach as well as learn from others

    Nice to have additional skills

    Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty

    Experience with database technologies and sql

    Experience with probability, hypothesis testing, and uncertainty quantification

    Experience with optimization techniques (e.g. stochastic optimization, robust optimization)

    Experience with data visualization and dashboarding technologies (e.g. Dash, Streamlit)

    Experience leading and mentoring a team of analysts

    #J-18808-Ljbffr
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