Quant Trading Intern — Immediate Start (Crypto Markets)

Fasanara; Greater London; On-site; GBP 12,000 - 19,000; Full time

Job summary

Fasanara is opening two off-cycle internship positions, available for immediate start. Interns are integrated into the trading desk with a mentor and own a live research question tied to a real strategy.

Work proceeds from hypothesis through data analysis and backtesting to, where warranted, production; interns use the same fifteen‑plus venues and 24‑hour platform as the full team. Applicants should be completing a bachelor’s or master’s degree in a quantitative field and demonstrate excellent

Qualifications

• Bachelor's or Master's degree in a highly quantitative discipline.
• Proven programming excellence with Python experience.
• Strong mathematical background and research experience.

Responsibilities

• Analyse live and historical market data — order books, funding rates, basis, venue fee schedules — to identify a trading edge.
• Design and backtest models or signals under realistic constraints, including execution cost, latency, fee tier, and capital usage.
• Work alongside a quantitative trader on an active cross-exchange arbitrage or basis strategy, from hypothesis through potential live sizing.
• Contribute production-quality tooling to the desk’s research and monitoring infrastructure.
• Present findings to the team and defend methodology and conclusions under scrutiny.

Skills

Quantitative reasoning

Python

Software engineering

SQL

Education

Bachelor's or Master's degree in mathematics, physics, computer science, engineering, statistics or related field

Tools

SQL

Job description

Fasanara is opening two off-cycle internship positions, available for immediate start. Interns are integrated into the trading desk with a mentor and own a live research question tied to a real strategy.

Work proceeds from hypothesis through data analysis and backtesting to, where warranted, production; interns use the same fifteen‑plus venues and 24‑hour platform as the full team. Applicants should be completing a bachelor’s or master’s degree in a quantitative field and demonstrate excellent