Junior Quantitative Researcher

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a Junior Quantitative Researcher for Machine Factor Technologies. About the client: Machine Factor Technologies 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. Role Summary: As a Junior 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 modelled 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 preferred. Knowledge of finance or digital-asset markets is appreciated but not required. Familiarity with unconventional data sources, version control, and automated testing frameworks. Compensation & Benefits: 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. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days , and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.