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Job Summary
The 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 & ACTIVITIES
1. Strategy Development
- Design 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 Optimization
- Improve strategies through:
- parameter tuning
- signal refinement
- filtering logic
- Avoid overfitting and ensure generalizability
4. Algorithmic Trading & Execution Design
- Translate 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 Development
- Work with:
- Quantitative Analyst
- Data Scientist
- ML Engineer
- Contribute to:
- signal generation
- feature engineering
- predictive model inputs
6. Strategy Library Development
- Build and maintain a structured library of strategies
- Categorize by:
- strategy type
- risk profile
- market conditions
- Ensure scalability and reusability
7. Product Integration
- Translate trading logic into:
- clear rules
- inputs / outputs
- constraints
- Work closely with:
- Product Manager
- Engineering team
- Ensure smooth implementation into the platform
8. Continuous Research & Improvement
- Monitor strategy performance over time
- Identify degradation or inefficiencies
- Continuously refine and improve strategies
COMPETENCIES
Core
- Systematic Trading
- Algorithmic Trading
- Quantitative Strategy Development
- Backtesting
- Statistical Analysis
Technical
- Python (preferred)
- Backtesting frameworks
- Data analysis tools
- Familiarity with APIs and trading systems
Trading Knowledge
- Technical Analysis
- Fundamental Analysis
- Market structure understanding
Quant / Data
- Time series analysis
- Signal processing
- Feature engineering
Soft
- Deep focus and persistence
- Structured thinking
- Ability to explain complex logic clearly
- Continuous improvement mindset
JOB SPECIFICATIONS
Experience
- 5-10 years in:
- systematic trading
- algorithmic trading
- quantitative research
Preferred
- Experience building automated trading strategies
- Exposure to execution systems or trading bots
- Experience with financial datasets
KEY PERFORMANCE INDICATORS
- Number of validated and deployable strategies
- Risk-adjusted performance (Sharpe, drawdown)
- Robustness of backtests
- Contribution to predictive accuracy
- Readiness of strategies for automation
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