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Quantitative Researcher

About the role

The Senior Quantitative Researcher will have the opportunity to try to „crack“ the financial markets, learn a lot, and have some fun while at it.  They will be working with top-quality financial and alternative data, cutting-edge infrastructure, and vast computational resources to find a systematic and sustainable advantage in the markets. The role will involve partnering and growing together with experienced investment professionals, data scientists, and software developers in a team-based environment in the office. The work will be both intellectually challenging and satisfying and the researcher will be rewarded proportionately to the out-of-sample performance of their models. PharVision is committed to providing flexible career development and long-term growth opportunities.

Beyond that, the PharVision team values self-awareness, intellectual curiosity, and a team-player mentality. You will be working side-by-side and learning from experienced investment professionals and quantitative researchers.


  • Research, design, develop and deploy advanced predictive machine learning models (hands-on)

  • Develop and implement systematic trading strategies, based on the model predictions

  • Read financial literature and academic papers in search of market inefficiencies and inspiration

  • Form hypotheses in relation to market patterns and dependencies and test them rigorously

  • Learn about financial markets and instruments and find ways to predict their future performanc

  • Think creatively, innovate and solve complex problems

Technical Requirements

  • At least a graduate degree in a technical field

  • Eagerness to learn about financial markets and ways to predict performance of businesses and their stock prices

  • 5+ years of experience analyzing large amounts of data using Python or R

  • Extensive experience training and implementing models with Scikit-learn, Pytorch and/or Tensorflow

  • Understanding of linear algebra, time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression

  • A track record of demonstrated dedication and perseverance in solving complex problems

  • Excellent English, both spoken and written

Soft skills requirements

  • Excellent communication skills, both written and oral

  • Self-awareness, intellectual curiosity, and a team-player mentality

  • Self-starter, enthusiastic and positive thinker

Nice to Have

  • Degree(s) in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science

  • Exposure to packages such as pandas, NumPy, statsmodels, sklearn, scipy, matplotlib, and TensorFlow. C++ experience is an advantage

  • Exposure to the Agile approach and methodology

  • Experience or at least interest in machine learning techniques, time series analysis, and econometrics

  • Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN, or other autoencoders

  • KX / KDB+ / q experience

  • Basic understanding of equity markets

Company Culture

  • Meritocratic, Ego-free, highly driven team environment

  • Perpetual personal and academic development – top-notch Wall St and technology research library of materials (courses, books, research papers, webcasts, etc.)

  • Challenging problems and innovative problems to solve every day

  • Opportunity to innovate and explore research projects of personal interest, while making a meaningful impact on the business


Benefits & Work Conditions

  • Work hours: usually 8 am – 6 pm Sofia time, 100% in the office. Off days on some US (New York Stock Exchange) holidays, (not Bulgarian holidays)

  • 28 days of paid time off (includes 6 sick days)

  • Multiple parking and garage spots in the office building

  • Unlimited high-quality espresso and coffee in the office

  • Lunch is provided in the office on Mondays and Fridays

  • Healthy snacks and beverages in the office

  • Free fitness/gym subscription

  • Subsidy towards additional health insurance

  • Team building events

  • Modern office with a pleasant environment, high-tech equipment, and a great location – 180-degree city and mountain views from the top floor

  • Office kitchen (microwave, fridge, espresso machine, etc.) and 2 bathrooms

  • Referral program for bringing in new talent

We are proud to be an equal-opportunity workplace. We do not discriminate based on 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.

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