Job Summary:
We are looking for a Backtesting Leader who is both a strategist and a hands-on contributor-a true player-coach in the field of financial markets and trading strategy backtesting. The ideal candidate will lead, mentor, and actively participate in developing backtesting frameworks, ensuring high-performance execution and accuracy in trading models.
Key Responsibilities:
- Lead and actively contribute to the design and execution of backtesting frameworks.
- Analyze historical market data and refine trading algorithms based on real-world simulations.
- Mentor and guide junior analysts and developers, fostering technical growth.
- Collaborate across teams with traders, quants, and software engineers to optimize trading strategies.
- Ensure compliance with regulatory and industry standards in trading strategy validation.
- Solve complex technical challenges, ensuring robustness in backtesting methodologies.
- Stay ahead of emerging trends in algorithmic trading and backtesting technologies.
Qualifications:
- Education: Bachelor's or Master's degree in Finance, Economics, Mathematics, Computer Science, or a related field.
- Experience: 6+ years in backtesting, quantitative finance, and trading strategy development.
- Technical Skills:
- Expertise in Python or C .
- Strong knowledge of financial market data sources and APIs.
- Experience with backtesting platforms (TradingView, QuantConnect).
- Advanced proficiency in data science libraries (Pandas, NumPy).
- Leadership & Coaching Skills:
- Proven experience as a player-coach, leading teams while actively contributing to projects.
- Ability to mentor and train junior professionals in best practices.
- Strong communication and stakeholder management skills.