ABOUT THE PROJECT

we are looking for a Junior Quantitative Researcher for Machine Factor Technologies. 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.

REQUIREMENTS

– 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

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.

WHAT WE OFFER

– Competitive remuneration
– Working in an intuitive-inclusive system
– New working space in modern design

COMPENSATION & BENEFITS

– Competitive salary
– Family health insurance policies
– Flexible work schedules
– Hybrid work model
– Paid vacation, sick days, and so on
– Mentored learning