[Hiring] Quantitative Trading Analyst @Qompyl

Role Description

We are 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
• Product collaboration

We are specifically looking for someone with a mathematically and statistically driven approach to trading. The ideal candidate can take a market hypothesis or trading idea, translate it into measurable rules or signals, test it rigorously using historical data, and critically evaluate whether the resulting performance is statistically and financially meaningful.

You will work directly with Qompyl's indicators and strategy-building tools, including:

• Researching and developing indicators and signals
• Validating their mathematical and financial logic
• Building and backtesting systematic strategies
• Analyzing performance and risk
• Identifying opportunities to improve the platform

You will also work closely with our product and trading teams to translate quantitative trading concepts into intuitive tools that traders can use without needing to code. This is not a traditional software QA role or a purely discretionary trading role. We are looking for someone who combines financial-market knowledge with quantitative thinking, enjoys experimenting with data and models, and can contribute to an evolving trading product.

Qualifications

• Strong quantitative foundation in mathematics, statistics, probability, econometrics, engineering, computer science, physics, quantitative finance, or a related discipline.
• Hands-on experience with quantitative research, 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.
• Ability to critically evaluate whether quantitative results are statistically and financially reasonable.
• Strong analytical mindset, attention to detail, and healthy skepticism.
• Ability to communicate quantitative concepts clearly to both technical and non-technical collaborators.
• Comfortable working independently in a remote, asynchronous, early-stage startup environment.

Requirements

• Degree or advanced coursework in mathematics, statistics, quantitative finance, econometrics, engineering, physics, computer science, or another highly quantitative discipline.
• Experience with NumPy, pandas, SciPy, statsmodels, scikit-learn, or similar quantitative/data-science libraries.
• Experience with time-series analysis, statistical modeling, optimization, factor research, or machine learning applied to financial markets.
• Experience creating or modifying trading indicators.
• Familiarity with TradingView, Pine Script, or other strategy-building/backtesting platforms.
• Experience working with stocks, ETFs, futures, forex, cryptocurrencies, or derivatives.
• Experience with SQL and financial datasets.
• Experience contributing to a fintech, trading, analytics, or investment product.
• Product-oriented or entrepreneurial mindset.
• Experience communicating quantitative research or trading concepts to broader audiences.

Benefits

• This is a part-time role (approximately 12–15 hours per week), suitable as a side engagement alongside a primary job or consulting work.
• The position is currently equity-only, with the goal of transitioning to a cash + equity structure as Qompyl reaches its funding, product, and revenue milestones.

Company Description

Qompyl is an early-stage fintech startup building a no-code platform that enables users to create, backtest, analyze, and monitor trading strategies. Our mission is to make sophisticated quantitative trading tools more intuitive, visual, and accessible. We are developing a platform where accuracy, data integrity, and sound financial logic are essential to delivering a reliable and trustworthy user experience.