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

Kronos Trading; Dallas (TX); Remote; USD 60,933 - 72,986; Full time

Job summary

A systematic trading firm is seeking a Quant Research & Risk Engineer to oversee strategy development and risk management processes. This full-time remote position requires a strong command of Pine Script and Python, along with experience in trading, particularly in Crypto and Forex. Successful candidates will help design and implement strategies while collaborating with senior management on trade decisions and risk control systems. If you have a passion for quantitative analysis and trading, we encourage you to apply.

Qualifications

• Extremely proficient in Pine Script and at least intermediate in Python.
• Demonstrated understanding of risk management and exposure.
• High reliability with consistent availability and fast communication.

Responsibilities

• Design and implement strategy research in TradingView using Pine Script.
• Collaborate daily with the Founder for trade-offs and risk decisions.
• Design robust money management systems and risk dashboards.

Skills

Strong Pine Script v5

Intermediate Python

Trading experience in Crypto and Forex

Understanding of drawdowns

Job description

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.

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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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