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Quant Research & Risk Engineer; Pinescript + Python + APIs Remote

Remote · USA Full-time New today

Position: Quant Research & Risk Engineer (Pinescript + Python + APIs) | Full-Time, Remote Quant Research & Risk Engineer (Pinescript + Python + APIs) | Full-Time, Remote IMPORTANT: IF YOU ARE NOT EXTREMELY PROFICIENT AND FAST IN PINESCRIPT AND AT LEAST INTERMEDIATE IN PYTHON, PLEASE SKIP THIS POST -- Quant Strategy & Risk Research Engineer (Pine Script + Python) — Full-Time, Remote Competitive full-time compensation, up to $6,000 USD/month, with performance-based upside. -- Kronos Trading is a fast-growing systematic trading business serving high-capital clients. Since 2022, our systems have outperformed Bitcoin over the same periods and we’re scaling the research stack to keep doing it --through better strategy design, tighter risk controls, and smarter portfolio construction. We’re hiring a full-time Quant Strategy & Risk Research Engineer to work directly with Alex (Founder & Fund Manager) on new strategies and risk models. Execution is handled via a third-party platform connected to client exchange accounts. Your job is to design, test, and specify the logic -- then collaborate with our infrastructure lead who handles automation/integration. -- Your Mission Help us create strategies that survive: minimize drawdowns, control exposure, and keep performance resilient across market regimes. You’ll combine research discipline with real-world trading practicality. What You’ll Do

  • Strategy research in Trading View (Pine Script v5)
  • Implement and iterate on strategy logic in Pine (prototypes → robust versions)
  • Build tooling to explore ideas quickly (filters, regime detection, trade management logic)
  • Maintain readable, modular code so iteration is fast
  • Reproduce/extend ideas beyond Trading View in Python when needed: c_parameter sweeps, d_sensitivity/stability checks, “Does this edge persist across pairs and regimes?”, “What’s the expected drawdown distribution?”, “What happens when correlations spike?”
  • Propose and design your own 'Risk Dashboard' such as:

Spread / liquidity anomaly alerts, Exposure caps on client’s account, cooldowns, trade halts, guardrails for bad fills, error conditions, abnormal volatility, extreme market moves. Write the specs and logic; infra integrates it into monitoring/automation.

  • Work tightly with Alex (Founder)
  • Daily collaboration on ideas, trade-offs, and risk decisions
  • Bring critical thinking and “capital protection” instincts, not just coding

-- Who We’re Looking For

  • You naturally ask: “How does this fail?” and design around it
  • You care about drawdowns, tail risk, exposure, and robustness
  • You can propose smart money management ideas and defend them with evidence

-- A - Requirements (Non-Negotiable)

  • Strong Pine Script v5 (stateful logic, not just indicators)
  • Strong Python for quant analysis / backtesting

B - Demonstrated understanding of

  • drawdowns & risk-of-ruin thinking
  • position/exposure management
  • regime changes and strategy decay

C - High reliability

  • consistent availability, fast communication, full-time focus

-- Other Must Have

  • Trading experience, specifically Crypto and Forex.
  • Experience working with execution platforms (3commas, Alpaca, etc...) at the logic/spec level
  • Familiarity with monitoring/alerting concepts for trading ops
  • Prior work on portfolio construction and uncorrelated strategy baskets

-- How We Work

  • Trading View (Pine) for rapid research and iteration
  • Python for deeper validation and portfolio-level truth
  • Execution via our signal broadcaster (you are not writing an exchange execution engine)
  • Fast cycles, high standards, minimal bureaucracy

-- Hiring Process (Fast)

  • Pine task (implement a stateful strategy component cleanly)
  • Python task (analyze results + stability)
  • Risk task (design a delisting/spread anomaly protection spec + describe what you would do with that information)

-- To Apply Send:

  • 2-3 examples of Pine work (links/screenshots)
  • A brief summary of a risk control system you designed (what it prevented and how)
  • A Python sample (Git Hub/notebook snippet is fine)
  • Your timezone + confirmation of full-time availability

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Research, Analyst, and Information Technology

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