Job Title

Job SummaryThe Systematic & Algorithmic Trading Strategist is responsible for designing, testing, and continuously improving rule-based trading strategies, and translating them into algorithmic execution frameworks.This role combines:systematic strategy development rigorous backtesting and validation algorithmic implementation readiness The position plays a central role in:building a structured strategy library developing predictive signals contributing to automated trading systems This is a hands-on, research-intensive role focused on continuous iteration, optimization, and real-world applicability.KEY ACCOUNTABILITIES & ACTIVITIES1. Strategy DevelopmentDesign systematic trading strategies using: technical indicators fundamental signals quantitative models Define rule-based frameworks for: entry / exit position sizing risk management 2. Backtesting & Validation Conduct extensive backtesting across historical data Evaluate: returns drawdowns risk-adjusted metrics Validate robustness across different market regimes 3. Strategy OptimizationImprove strategies through: parameter tuning signal refinement filtering logic Avoid overfitting and ensure generalizability 4. Algorithmic Trading & Execution DesignTranslate strategies into algorithm-ready rules Define: execution logic order conditions risk constraints Contribute to the design of: automated trading systems bot-based execution frameworks Ensure strategies are deployable in real trading environments 5. Predictive Signal DevelopmentWork with: Quantitative Analyst Data Scientist ML Engineer Contribute to: signal generation feature engineering predictive model inputs 6. Strategy Library DevelopmentBuild and maintain a structured library of strategies Categorize by: strategy type risk profile market conditions Ensure scalability and reusability 7. Product IntegrationTranslate trading logic into: clear rules inputs / outputs constraints Work closely with: Product Manager Engineering team Ensure smooth implementation into the platform 8. Continuous Research & ImprovementMonitor strategy performance over time Identify degradation or inefficiencies Continuously refine and improve strategies COMPETENCIESCoreSystematic Trading Algorithmic Trading Quantitative Strategy Development Backtesting Statistical Analysis TechnicalPython (preferred)Backtesting frameworks Data analysis tools Familiarity with APIs and trading systems Trading KnowledgeTechnical Analysis Fundamental Analysis Market structure understanding Quant / DataTime series analysis Signal processing Feature engineering SoftDeep focus and persistence Structured thinking Ability to explain complex logic clearly Continuous improvement mindset JOB SPECIFICATIONSExperience5-10 years in: systematic trading algorithmic trading quantitative research PreferredExperience building automated trading strategies Exposure to execution systems or trading bots Experience with financial datasets KEY PERFORMANCE INDICATORSNumber of validated and deployable strategies Risk-adjusted performance (Sharpe, drawdown) Robustness of backtests Contribution to predictive accuracy Readiness of strategies for automation