At a Glance
- Tasks: Calibrate trading models and improve metrics for accurate reporting on market data.
- Company: Join Solo Clash, a dynamic proprietary trading company focused on empowering aspiring traders.
- Benefits: Competitive compensation, access to AI tools, and tailored mentoring.
- Other info: Exciting career progression opportunities in a supportive and structured environment.
- Why this job: Make a real impact in trading by enhancing model accuracy and collaborating with innovative minds.
- Qualifications: Degree in a quantitative field and experience with statistical models and Python.
The predicted salary is between 63000 - 77000 £ per year.
Your main job is calibrating our proprietary trading and risk model, improving its metrics and showing that each change makes the reports more accurate on GC, NQ and ES.
Solo Clash is a proprietary trading company with a simple mission: give aspiring traders the training, technology, and community they need to succeed, and let them focus on what they do best.
We provide the environment; our traders bring the curiosity.
Together, we win.
At the heart of our platform is our in-house analytics and trading engine, built to process real-time data and surface transparent statistics that help traders make better decisions.
What you'll do
- Calibrate the model's parameters and features, and measure each change against the current version.
- Improve how the model calculates directional bias, confidence scores, consistency and volatility profiles.
- Validate every change out of sample and test it for look-ahead bias, data snooping and overfitting.
- Track how each report performed after the release, find where the model drifts and correct it.
- Turn feedback from the Trading & Risk Analyst into tested model changes.
- Run event studies on CPI, NFP, FOMC and other releases, measuring the surprise against consensus, across different time windows and market regimes.
- Build and extend research pipelines and backtests in our in-house engine.
- Prepare futures data, including contract rolls, trading sessions and time zones.
- Look for new event types, instruments and features that improve the model.
- Report findings to the product and engineering teams and to clients, including changes that did not work.
What we're looking for
- Junior: recent graduates and current MSc or Ph D students.
- Mid: experience in quant research, trading or data science on market data, with at least one research project that went into production.
- Degree in mathematics, physics, statistics, computer science, econometrics or a related field.
- Thorough knowledge of statistics, including hypothesis testing, regression and time-series analysis, and experience calibrating or validating statistical models.
- Python for data analysis (pandas, Num Py) and SQL.
- Experience with financial time-series data from work, research or personal projects.
- Interest in financial markets and macroeconomics.
- You review your own results critically before presenting them.
- You work in a structured way, pay attention to detail and can work independently.
- Good written and spoken English.
- Nice to have
- Experience with C++, C#, Java or Rust.
- Experience with futures, options or intraday and tick data.
- Experience with economic calendar data, including consensus forecasts and revisions.
- Background in event studies, econometrics or market microstructure.
- Experience building or using backtesting frameworks.
- Knowledge of Bayesian methods, machine learning or regime detection.
- Experience with Claude Code or other AI development tools.
What we offer
- Compensation based on experience.
- Access to Claude Code and other AI tools.
- Mentoring matched to your experience level.
- Responsibility for your own area of the product.
- Career progression based on performance.
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Quantitative Researcher in London employer: Solo Clash L.L.C-FZ
Solo Clash L.L.C-FZ fosters a collaborative work environment where employees can engage with advanced trading technologies and contribute to meaningful projects. The company emphasizes professional growth through hands-on experience and teamwork, making it an attractive place for those passionate about trading and analytics.
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