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Senior Quant Researcher (Prop / Systematic trading)
Senior Quant Researcher (Prop / Systematic trading)REDBRIDGE • AE
Senior Quant Researcher (Prop / Systematic trading)

Senior Quant Researcher (Prop / Systematic trading)

REDBRIDGE • AE
6 منذ أيام
نوع الوظيفة
  • Quick Apply
الوصف الوظيفي

We are a prop-trading firm that blends the agility 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 ideas 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 strategy : generate ideas, research and validate them properly, deploy to production, and run the strategy with robust risk control.

We can provide a strategy direction / starting thesis and the data / infra — you take it to a live, trading system.

We care about good decisions 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-forward.
  • Own risk : position sizing, limits, stress tests, scenario analysis, tail-risk awareness.
  • Model real trading constraints : transaction costs, slippage, market impact, and capacity.
  • Run post-trade analytics : PnL attribution, drawdown analysis, signal decay, and model drift.
  • Partner with research / engineering / execution to make sure strategies actually trade.

What success looks like

  • You can take a thesis from “idea” to a live strategy with solid validation and risk controls.
  • You can explain what drives PnL, when it breaks, and how you detect / mitigate drift.
  • You raise the bar for research rigor and production readiness.
  • Requirements

  • 5+ years in quantitative research, systematic trading, or ML-driven modeling for markets.
  • Proven production deployment of strategies / models with measurable outcomes (live trading or equivalent).
  • Strong stats + time-series fundamentals (non-stationarity, dependence, tails, robustness).
  • Strong Python and engineering discipline (reproducible research, clean code, tests / monitoring mindset).
  • PM-style thinking : returns vs risk vs costs, not “models for models”.
  • English and Russian are both working languages, and we are particularly open to Russian-speaking quants with international backgrounds. We work in an international, multilingual team.
  • Nice to have

    Experience trading options / volatility, strong ML for time series, or a deep applied math / physics / econophysics background is a major plus.

    Tech (what you’ll use)

  • Python; PyTorch if ML-heavy
  • Docker; experiment / research reproducibility tools (DVC / MLflow—tooling not strict)
  • Large, multi-source datasets (market + macro + alternative data)
  • You are not expected to be an expert in every area.We value ownership, depth, and good judgment over trying to cover everything at once.

    Benefits

  • Culture of innovation  — a genuinely open, research-driven environment where curiosity is rewarded and your ideas directly shape real trading strategies.
  • True flexibility  — work from anywhere; we care about outcomes, not where or when you sit at your desk.
  • High autonomy & ownership  — no micromanagement, no bureaucracy. You get full responsibility over your research direction, models, and production impact.
  • Startup agility, Fund resources  — fast decision-making, minimal red tape, and access 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, options chains, satellite data, alt-data, Bloomberg, proprietary feeds).
  • Top-tier equipment  — choose the hardware / software setup that makes you most productive.
  • Well-being support  — 35 days of vacation, 100% paid sick leave, and access to a corporate psychologist.
  • Real career growth  — shape research culture, lead initiatives, and influence long-term strategy directions.
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