Quantitative Researcher
About the role
Invent, test, and harden signals and models that feed TradesCrafter trading systems across equities, options, and futures. You will work with rich market datasets, rigorous backtests, and tight collaboration with traders and developers. Advance TradesCrafter research by producing reproducible alpha that survives production constraints.
About TradesCrafter
TradesCrafter builds trading technology that connects quantitative research, execution, market data, and risk-aware decision systems. We recruit traders, quants, and markets engineers who care about correctness under load, clear risk judgment, and disciplined delivery across equities, options, and futures.
What you will work on
Research programs balance novelty with statistical rigor and realistic costs, latency, and capacity assumptions.
- Feature engineering and hypothesis testing on historical and streaming data
- Backtests with costs, latency, and capacity constraints
- Model monitoring and decay analysis after deployment
- Research reviews that translate findings into trading decisions
- Shared libraries and standards for experiment tracking
Systems and functionality you will touch
- Research notebooks and experiment trackers
- Feature stores and labeled datasets
- Backtesting and simulation engines
- Model registry and promotion workflows
- Live model health dashboards
Day to day
- Design experiments and document priors before running them
- Partner with data and platform engineers on data quality
- Present findings with clear uncertainty bounds
- Support productionization with Quant Developers
- Track live model health and propose recalibration
Responsibilities
- Deliver reproducible research with code, lineage, and written conclusions
- Challenge overfitting and leakage in peer review
- Define success metrics aligned with desk goals
- Mentor interns and junior researchers
- Contribute to shared research tooling
Requirements
- Strong background in statistics, ML, econometrics, or related fields
- Proven experiment design and careful interpretation
- Python proficiency for scientific computing
- Ability to communicate uncertainty clearly
- Interest in equities, options, or futures markets
Traits that thrive here
- Intellectual honesty
- Patience with messy data
- High bar for reproducibility
- Collaborative peer review
Nice to have
- Publications or open-source research
- Bayesian methods or causal inference
- Market microstructure datasets
- GPU-accelerated experimentation
How the team works
This role is Fully Remote. TradesCrafter hires across time zones with async-first collaboration, documented decision-making, and scheduled overlap for live market reviews. You will not be required to relocate or work hybrid for this position.
You will partner with traders, researchers, developers, and operations across TradesCrafter. We value written design notes, measurable outcomes, and respectful debate grounded in data. Interview loops typically include a markets or systems discussion, a practical work sample, and conversations with the team you would join.
Schedule
Fully Remote