Quantitative Researcher

Role Overview

Education and Experience

• MSc or PhD in a quantitative field; a live trading track record may outweigh formal credentials.
• At least 5 years of quantitative research or trading experience at an HFT firm, market maker, systematic fund, or crypto-native market maker.
• Hands-on experience with at least one TradFi asset class or equivalent crypto asset classes, covering maker and taker strategies.

Technical and Market Skills

• Advanced probability, statistics, time-series analysis, optimization, and rigorous validation using multiple-testing controls and out-of-sample hygiene.
• Expert Python with NumPy, pandas or Polars, and PyTorch, plus working C++ or Rust for latency-critical components.
• Market microstructure expertise covering order books, queue position, fill probability, adverse selection, markouts, and market impact.
• Scaled tick-data engineering using columnar stores, cross-venue normalization, and data-quality controls.
• Crypto knowledge covering CEX matching engines, fee schedules, perpetuals, cross-venue arbitrage, and DEX or AMM basics.
• TradFi knowledge covering FX ECNs, prime brokerage, listed futures, colocation, and exchange protocols.
• Inventory and hedging knowledge covering Avellaneda–Stoikov-style quoting, multi-asset optimization, settlement, risk limits, and kill switches.

Liquidity Program Responsibilities

• Design market-maker tiers, admission criteria, quoting obligations, incentives, and graduation to subsidy-free self-sufficiency.
• Optimize fee schedules, maker rebates, taker tiers, and safeguards against tier gaming.
• Design order-book mechanics, including tick and lot sizing, post-only, iceberg, RPI, self-match prevention, and minimum quote life.
• Build toxic-flow classification and counterparty scoring with monitoring, access rules, and surcharges where appropriate.
• Own the subsidy budget, payback roadmap, and market-quality dashboard.

Trading Responsibilities

• Own the crypto-first strategy roadmap, followed by TradFi FX and futures, integrating pricing, quoting, hedging, and execution.
• Conduct alpha research across tick and order-book, cross-venue, funding and basis, and on-chain data.
• Design inventory-aware hedging, portfolio risk limits, and parameter governance.
• Partner with engineering on low-latency implementation and validate systems through simulation and canary deployments.
• Own P&L attribution, TCA, markout analysis, and research standards.
• Lead TradFi FX entry research for LSEG FX Spot Matching and Euronext FX.

Working Environment

• The role is positioned within WhiteBIT's crypto and Web3 fintech environment and involves collaboration with traders, engineers, exchange management, and external liquidity providers.

Benefits

• The posting mentions modern equipment, comfortable working conditions, 24 calendar days of paid leave, and additional national-holiday days off.