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Quantitative Trading Analyst

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Remote (International)

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Engineering

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Part-time

0.3-0.5 %

About Qompyl

Qompyl is an early-stage fintech startup building a mobile-first, hands-on, visual, and gamified strategy builder that empowers traders to create and refine trading strategies with ease. Our goal is to make advanced financial tools simple, intuitive, and accessible — closing the gap between complex market data and real decision-making.

We are a global, async-first, part-time team that values autonomy, clarity, collaboration, and thoughtful communication.

Learn more at qompyl.com

Role Overview

Qompyl is looking for a Quantitative Trading Analyst to help research, build, test, and improve trading strategies, indicators, and quantitative trading functionality within Qompyl.

This is a hands-on and cross-functional role combining quantitative research, systematic trading, indicator and signal development, strategy analysis, product validation, and product collaboration.

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Research quantitative trading ideas, signals, indicators, and market relationships.
Translate market hypotheses into measurable, testable quantitative rules.
Apply statistical and mathematical methods to evaluate signal quality and robustness.
Analyze relationships across prices, returns, volatility, volume, momentum, market regimes, and other relevant market variables.
Identify noise, overfitting, unstable relationships, and potential biases.
Evaluate whether observed patterns are economically and statistically meaningful.
Document research methodology, assumptions, findings, and limitations.

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Requirements

Strong quantitative foundation in mathematics, statistics, probability, econometrics, engineering, computer science, physics, quantitative finance, or a related discipline.
Hands-on experience with quantitative reearch, systematic trading, algorithmic trading, or quantitative strategy development.
Strong understanding of statistical analysis and its application to financial markets.
Experience researching and testing trading signals or systematic strategies.
Strong understanding of backtesting methodology and common sources of bias.
Ability to analyze strategy performance using risk and return metrics.
Proficiency with Python for quantitative analysis, research, or backtesting.
Strong practical understanding of financial markets and trading mechanics.
Understanding of entries, exits, order logic, position sizing, risk, P&L, returns, volatility, and drawdowns.

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Please Note — Equity-Only Structure

This is a part-time role (approximately 12-15 hours per week), suitable as a side engagement alongside a primary job or consulting work.

This position is currently equity-only, with the goal of transitioning to a cash + equity structure as Qompyl reaches its funding, product, and revenue milestones.

If you're excited about joining an early-stage fintech and helping build a next-generation quantitative trading platform, we’d love to hear from you.

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Apply

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