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Data Engineer

PharVision Capital | София

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2 юни
Обявата е публикувана в следните минибордове
  • Sofia, Bulgaria
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    About PharVision Capital

    PharVision Capital was founded in 2020 in Chicago, IL as a systematic long-short, market-neutral, factor-neutral investment fund, capturing opportunities in the US listed equity markets. PharVision is looking to deliver superior uncorrelated returns to investors, i.e. pure alpha, through a machine-plus-man approach. The team is utilizing proprietary quality data sources, sound economic reasoning, machine learning signal generation, vast computational resources and airtight portfolio risk-management to drive performance. The culture is centered around meritocracy, collaboration, innovation, creativity, overcommunication, urgency and relentless ambition to grow our intellectual competitive advantage.

    Blago Baychev, Co-founder and Chief Investment Officer

    Most recently, Blago has been a trader at Citadel Global Equities in Chicago for over 4 years where he gained extensive experience in long-short market-neutral execution, risk & portfolio management, data analysis and operations. Blago helped oversee up to $15B of gross assets in the consumer, TMT and healthcare sectors. Before Citadel, Blago spent 4 years on the Morgan Stanley Quantitative & Derivatives Strategies team in New York engineering fully systematic equity derivatives strategies. Blago graduated Summa Cum Laude with a Mathematics & Economics degree from Lafayette College in Easton, PA.

    Data Engineer

    As a data engineer at PharVision you will have the opportunity to innovate, design and build research tools and infrastructure in Python that help you and your team test research hypotheses and transform data into actionable investment signals. You will be writing efficient, modular and dependable code, packages, libraries and scripts and use those to conduct market intelligence and analyze data relevant to making systematic financial markets projections. You will be testing and modeling both traditional and non-traditional , structured and unstructured data in order to find market signals and distill them from the noise. You will also identify and deploy statistical, machine learning, and deep learning methods that strike the right balance between predictive power and robustness. The product of your work will be the backbone of the quantitative research process, as well as the investment process. You will have access to superior computation resources, both local and cloud-based, to unleash your full potential. You will be working side-by-side and learning from experienced investment professionals, traders and quants. PharVision is committed to providing flexible career development and growth opportunities.

    Skillset Requirements

    • Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science
    • Experience working with large databases
    • Experience programming in Python, using packages such as pandas, numpy, statsmodels, sklearn, scipy, matplotlib, tensorflow. C++ experience is an advantage
    • Understanding of time series analysis, data mining, numerical methods and statistical tools, including PCA and regression.
    • Experience working with large data sets
    • Great communication skills, both written and oral

    Nice to Have

    • Experience working with distributed compute infrastructure
    • Experience with machine learning techniques, time series analysis and econometrics
    • Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder
    • JupyterHub expertise
    • KDB+ experience
    • Basic understanding of equity markets

    We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.