Quant Researcher
Generate, validate, and improve research that survives real markets—and translates cleanly into production.
As a Quant Researcher at Trade Sense, you will develop and validate systematic ideas with a focus on robustness, reproducibility, and real-world deployability. You’ll work closely with engineering and trading to ensure assumptions are explicit and the path to production is disciplined.
Interview Loop
Intro call
Alignment on role and expectations
Technical rounds
Role-specific
Practical working session
Practical problem solving
Founder conversation
Standards, ownership, culture
- Research systematic signals, models, and execution-aware hypotheses across markets.
- Design robust experiments: prevent leakage, ensure clean splits, document assumptions.
- Stress test: regimes, sensitivity, costs/slippage reasoning, edge decay and failure modes.
- Maintain research artifacts: code, experiment notes, documentation.
- Partner with Quant Developers to translate validated work into production specifications.
- Participate in review culture: defend work with evidence and improve based on feedback.
- Strong statistical reasoning and research hygiene (bias/leakage/overfitting awareness).
- Solid programming ability (Python expected; clean, testable code).
- Comfort working with real datasets and building reliable pipelines.
- Clear communication: what worked, what didn’t, and why.
- Familiarity with market microstructure concepts or execution-aware modeling.
- Experience with distributed compute or performance optimization.
- Prior systematic trading research experience.
Flat teams, clear ownership, evidence-based reviews.
Clear expectations, direct feedback, strong support.
Problems are solved systematically, not politically.
How To Apply
Apply using the form or email us. We read every application. If there's a fit, you'll hear back from us.
