Quantitative Trading Analyst (part-time, equity-only)

Qompyl is building a no-code trading platform that enables traders to research, build, backtest, and monitor strategies without needing to code.

We’re looking for a quant-minded trader/researcher to help us build the quantitative layer behind that experience.

This isn't a traditional discretionary trading or software QA role. We’re looking for someone who can turn a market hypothesis into a quantitative signal or systematic strategy, test it rigorously, challenge the results, and help translate the research into an intuitive product.

You’ll work on:

• Quantitative signal & indicator research
• Systematic strategy development
• Python-based market analysis and backtesting
• Statistical validation and robustness testing
• Performance & risk analysis
• Identifying overfitting, look-ahead bias, survivorship bias and unrealistic assumptions
• Translating quantitative research into product features
• Collaborating directly with product, engineering, data, and trading contributors

Ideal background: quantitative finance, mathematics, statistics, econometrics, engineering, physics, computer science, or similar - combined with hands-on exposure to financial markets.

Core skills: Python, statistics/probability, systematic trading, backtesting, market data analysis, and trading/risk concepts.

Bonus: time-series analysis, optimization, factor models, ML, SQL, Pine Script, TradingView, derivatives, or previous fintech experience.

Remote · Part-time (12–15 hrs/week) · Currently equity-only

Ideal for someone who already has a primary role or consulting work and wants meaningful ownership in an early-stage fintech.

Apply here: https://app.dover.com/apply/qompyl/98abd9a1-fb72-461d-8ce8-75530d426a16