Quant Research & Risk Engineer (Pinescript + Python + APIs) | Full-Time, Remote

Quant Research & Risk Engineer (Pinescript + Python + APIs) | Full-Time, Remote

Competitive full-time compensation, up to $6,000 USD/month, with performance-based upside.

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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.

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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

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

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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

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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

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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

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How We Work

1. TradingView (Pine) for rapid research and iteration
2. Python for deeper validation and portfolio-level truth
3. Execution via our signal broadcaster (you are not writing an exchange execution engine)
4. Fast cycles, high standards, minimal bureaucracy

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Hiring Process (Fast)

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

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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 (GitHub/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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