Въведи своя e-mail и парола за вход, ако вече имаш създаден профил в DEV.BG/Jobs

Забравена парола?

Създай своя профил в DEV.BG/Jobs

За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:

83+5 =

Забравена парола

Въведи своя e-mail и ще ти изпратим твоята парола

PharVision Capital

Senior Python Developer (Python/AWS/MLOps)


Обявата е публикувана в следните категории

  • Anywhere
  • Съобщи проблем Megaphone icon

Съобщи за проблем с обявата


    Какво не е наред с обявата?*
    Моля опиши ни, къде е проблемът:
    За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:
    Tech Stack / Изисквания

    About PharVision Capital

    PharVision Capital is a quantitative hedge fund, founded in 2020 in Chicago to capture opportunities in the US-listed equity markets, using big data and machine learning. PharVision is looking to deliver superior uncorrelated returns to its investors 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.

    Our team of quantitative researchers, mathematicians, and machine learning experts strives to develop breakthrough solutions to some of the most challenging problems in finance and economics. To achieve that, we rely on a robust data pipeline and software infrastructure in order to continue operating smoothly.

    About the Role

    The Senior Python Developer will be expected to design, build and iterate on components of the machine learning software and the quantitative research infrastructure. The Senior Developer will be a key pillar of our core business and will be an inseparable member of the team, fully integrated and in sync with the MLOps and research process. Critical thinking will be required on a daily basis to evaluate and prioritize projects, as well as solve complex problems. Planning, time management, and the ability to clearly communicate both the benefits and the limitations of different solutions and approaches is key. The ideal candidate is someone with extensive Python, AWS, Docker, MLOps experience, combined with a creative mindset and data awareness. 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, data engineers and quantitative ML researchers.

    PharVision is committed to providing flexible career development and growth opportunities.


    • Design, develop, test, and maintain software solutions (hands-on)
    • Build CI/CD pipelines
    • Think critically and improve the existing internal software
    • Think creatively, innovate and solve complex problems
    • Lead and mentor the rest of the team and help implement best practices in coding

    Technical Skillset Requirements

    • Ideally, 8+ years of experience programming in Python
    • Proficiency in cloud computing (preferably AWS)
    • Experience working with docker containers
    • Experience working with large data sets
    • Experience working with task scheduling and DAGs
    • Exposure to unit and integration testing frameworks
    • Proficiency in Git

    Soft skills requirements

    • Great 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
    • Understanding of time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression
    • 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)
    • Continued education and learning – unlimited free SoftUni courses
    • 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
    • Special PharVision discounts at various retailers
    • 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.