Hiring Signal
Hiring Signal
Candidate profiles derived from observable work — not self-reported competencies. Employers access ranked candidates whose work product they can inspect directly.
For Candidates
Your profile is built automatically from what you do on the platform. No CV writing. No keyword stuffing. Work speaks.
Verified skill areas
Mapped to platform taxonomy: Stochastic Calculus, Monte Carlo, C++ numerical programming, Calibration, etc.
Depth indicators
Average complexity of completed modules and challenges, weighted by peer review score.
Consistency signals
Contribution frequency, recency, and progression rate over time.
Peer standing
Reputation percentile within cohort. Based on review outcomes, not self-reported seniority.
Work product access
Employers see code, derivations, and challenge solutions directly — not candidate summaries.
Visibility is opt-in
Anonymous profiles by default. You decide when — and to whom — your profile is visible. Named profiles require explicit consent.
For Employers
Pre-screening built on observed skill, not claimed competencies. Searchable by verified skill area, depth level, language proficiency, and activity recency.
Target role types
Quant Developer — C++, Python, implementation depth, system design
Pricing Quant — SDEs, PDEs, MC, derivation fluency, edge cases
Risk Quant — Greeks, VaR/ES, sensitivity analysis, model risk
Quant Researcher — Statistical reasoning, ML, backtesting rigour
Structuring Quant — Exotics, term sheets, hedge construction
Algo / Market Making — Microstructure, execution, inventory models
Talent search is live. Browse candidates who have opted in to employer visibility — verified skill data, no self-reported fields.