Quant Research & Risk Engineer (Pinescript + Python + APIs) | Full-Time, RemoteKronos Trading • Dallas, Texas, United States
Quant Research & Risk Engineer (Pinescript + Python + APIs) | Full-Time, Remote
Kronos Trading
- Dallas, Texas, United States
- Dallas, Texas, United States
About
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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
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.
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
TradingView (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
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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)
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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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Languages
- English
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