About us: Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
About the client: Our client is a regulated, market-neutral, multi-strategy algorithmic trading fund operating in the digital‐assets space. We trade across both CeFi and DeFi markets—spot and futures—leveraging a blend of traditional finance rigor and cutting-edge crypto innovation.
About the role: As a Quantitative Researcher, you’ll partner with our investment team to develop and evaluate crypto‐focused quantitative strategies. You’ll analyze latency‐optimization logs, back-test models in live environments, and deliver data-driven feedback to refine our trading signals. This role is modeled on Citadel’s Quantitative Researcher framework, emphasizing rigorous research, statistical analysis, and rapid implementation of algorithms into code
Key Responsibilities: * Conduct quantitative research on crypto markets and evaluate strategy performance. * Analyze large datasets and latency logs to identify bottlenecks and optimize trade execution. * Conceptualize and continuously refine mathematical models; translate algorithms into production-ready Python/Pandas code. * Back-test and implement trading signals in a live environment, monitoring real-time performance. * Collaborate with traders, engineers, and data teams to integrate findings and improve strategy robustness.
Skills & Preferred Qualifications: * 1–3 years’ experience in computer science, machine learning, or a similarly quantitative field. * Deep proficiency in Python and Pandas for data manipulation and analysis. * Strong foundation in statistics and mathematics (e.g., probability, time-series analysis, hypothesis testing). * Prior exposure to data-driven research or ML model development. * STEM background (e.g., CS, Math, Engineering) is a must. * Knowledge of finance or digital-asset markets is appreciated but not required. * Familiarity with unconventional data sources, version control, and automated testing frameworks.
The company offers: * Base salary depending on experience * Discretionary year-end trading bonus * Opportunities for professional growth in an innovative trading environment
Interview Process: * HR Screening: 30-minute introductory call * Take-Home Test: Quantitative and coding task (3–5 days’ turnaround) * Technical Interview: 1–2 hour deep dive into your research, coding, and statistical approach * Culture Fit Interview: 1 hour with senior team members to assess collaboration style and values
