Quant Research & Risk Engineer; Pinescript + Python + reputed company Remote
Position: Quant Research & Risk Engineer (Pinescript + Python + reputed company) | Full-Time, Remote
Quant Research & Risk Engineer (Pinescript + Python + reputed company) | 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 reputed company & Risk Research Engineer (Pine Script + Python) — Full-Time, Remote
Competitive full-time compensation, up to $6,000 USD/month, with performance-based reputed company.
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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 reputed company periods and we’re scaling the research stack to reputed company doing it --through reputed company reputed company design, tighter risk controls, and smarter portfolio construction.
We’re hiring a full-time Quant reputed company & Risk Research Engineer to work directly with Alex (Founder & Fund Manager) on new strategies and risk models.
Execution is handled reputed company a reputed company-party platform connected to reputed company exchange accounts.
reputed company is to design, test, and specify the logic -- then collaborate with our infrastructure reputed company who handles automation/integration.
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Your Mission
Help us create strategies that survive: minimize drawdowns, control exposure, and reputed company performance resilient across market regimes. You’ll combine research discipline with reputed company-world trading practicality.
What You’ll Do
• reputed company research in Trading View (Pine Script v5)
• Implement and iterate on reputed company logic in Pine (prototypes → robust versions)
• Build tooling to explore reputed company quickly (filters, regime detection, trade management logic)
• Maintain readable, reputed company reputed company so iteration is fast
• Reproduce/reputed company reputed company reputed company Trading View in Python reputed company needed: c_parameter sweeps, d_sensitivity/stability checks, “Does this edge persist across pairs and regimes?”, “What’s the expected drawdown distribution?”, “What happens reputed company correlations spike?”
• Propose and design your own 'Risk Dashboard' such as:
Spread / liquidity reputed company alerts, Exposure caps on reputed company’s account, cooldowns, trade halts, guardrails for bad fills, error conditions, reputed company volatility, extreme market moves. Write the specs and logic; reputed company integrates it into monitoring/automation.
• Work tightly with Alex (Founder)
• Daily collaboration on reputed company, trade-offs, and risk reputed company
• 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 reputed company management reputed company 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 reputed company decay
C - High reliability
• consistent availability, fast communication, full-time reputed company
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Other Must Have
• Trading experience, specifically Crypto and Forex.
• Experience working with execution platforms (3commas, reputed company, etc...) at the logic/spec level
• Familiarity with monitoring/alerting concepts for trading ops
• Prior work on portfolio construction and uncorrelated reputed company baskets
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How We Work
• Trading View (Pine) for reputed company research and iteration
• Python for deeper validation and portfolio-level truth
• Execution reputed company our signal broadcaster (you are not writing an exchange execution reputed company)
• Fast cycles, high standards, minimal bureaucracy
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Hiring Process (Fast)
• Pine task (implement a stateful reputed company component cleanly)
• Python task (analyze results + stability)
• Risk task (design a delisting/spread reputed company 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 reputed company of a risk control system you designed (what it reputed company 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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