Conduct quantitative research on crypto markets and evaluate strategy performance.
Analyze large datasets and latency logs to optimize trades.
Refine mathematical models; translate algorithms into Python/Pandas code.
Back-test and deploy signals in live environments; monitor performance.
Collaborate with traders, engineers, and data teams to improve strategies.

🎯 Requirements

1–3 years’ experience in CS, ML, or a quantitative field.
Deep proficiency in Python and Pandas.
Statistics and math (probability, time-series, hypothesis testing).
Prior exposure to data-driven research or ML model development.
STEM background (CS, Math, Engineering) preferred.
Finance or digital-asset knowledge is welcome but not required.
Familiarity with unconventional data sources, version control, and automated testing.

🎁 Benefits

Discretionary year-end trading bonus.
Opportunities for professional growth in an innovative trading environment.

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