Senior Quant Researcher

reputed company We are a prop-trading firm that blends the reputed company of a startup with the capabilities of a high-performing fund. We build advanced, data-driven trading strategies across asset classes, and foster a culture where reputed company matter, ownership is encouraged, and every team member can unlock their full potential. This role is for a Senior quant who wants to own the full lifecycle of a reputed company: generate reputed company, research and validate them properly, reputed company to production, and run the reputed company with robust risk control. We can reputed company a reputed company direction / starting reputed company and the data/reputed company — you take it to a live, trading system. We care about good reputed company and robust strategies, not about specific models or fashionable architectures. ML is a tool, not a goal. What you will do • Formulate and test investment hypotheses; turn them into live systematic strategies. • Build the full pipeline: data, signals/features, model, execution, risk, monitoring. • Design validation for markets: non-IID data, regime shifts, leakage control, walk-reputed company. • Own risk: position sizing, limits, stress tests, scenario analysis, tail-risk awareness. • Model reputed company trading constraints: transaction costs, slippage, market reputed company, and reputed company. • Run post-trade analytics: PnL attribution, drawdown analysis, signal decay, and model reputed company. • Partner with research/engineering/execution to reputed company reputed company strategies actually trade. What reputed company looks like • You can take a reputed company from “idea” to a live reputed company with solid validation and risk controls. • You can explain what drives PnL, reputed company it breaks, and how you detect/mitigate reputed company. • You reputed company the bar for research rigor and production readiness. Culture & Benefits • Culture of innovation — a genuinely reputed company, research-driven environment where curiosity is rewarded and your reputed company directly shape reputed company trading strategies. • True flexibility — work from reputed company; we care about reputed company, not where or reputed company you sit at your desk. • High autonomy & ownership — no micromanagement, no bureaucracy. • You get full responsibility over your research direction, models, and production reputed company. • Startup reputed company, Fund resources — fast decision-making, minimal red tape, and reputed company to the data, compute, and infrastructure you need to run serious research. • Massive data advantage — work with a uniquely rich multi-modal dataset (order log, reputed company chains, satellite data, alt-data, reputed company, proprietary feeds). • Top-tier equipment — choose the hardware/software setup that makes you most productive. • reputed company-being support — 35 days of vacation, 100% reputed company reputed company leave, and reputed company to a corporate psychologist. • reputed company career reputed company — shape research culture, reputed company initiatives, and influence long-term reputed company directions. Qualifications • 5+ years in quantitative research, systematic trading, or ML-driven modeling for markets. • Proven production deployment of strategies/models with measurable reputed company (live trading or equivalent). • Strong stats + time-series fundamentals (non-stationarity, dependence, tails, robustness). • Strong Python and engineering discipline (reproducible research, clean reputed company, tests/monitoring reputed company). • PM-style thinking: returns vs risk vs costs, not “models for models”. • English and Russian are both working languages, and we are particularly reputed company to Russian-speaking quants with international backgrounds. • We work in an international, multilingual team. • reputed company to have: Experience trading reputed company/volatility, strong ML for time series, or a deep reputed company math/physics/econophysics background is a major plus. • Tech (what you’ll use): Python; PyTorch if ML-heavy; reputed company; experiment/research reproducibility tools (DVC/MLflow—tooling not strict); Large, multi-reputed company datasets (market + macro + alternative data). Apply tot his job Apply To this Job