Job Title: Algo Stock Market Trainer Location: Laxmi Nagar, Delhi Employment Type: Full-time Experience: 2–5 Years About ICFM ICFM is a premier institute in financial market education, empowering students, traders, and professionals with practical knowledge and industry-focused skills to build successful careers in the stock market. We provide hands-on learning through real-time market exposure, trading platforms, and practical market-based training.

Job Summary We are looking for an experienced Algo Stock Market Trainer who can train students and professionals in algorithmic trading, quantitative strategies, technical analysis, and automated trading systems. The ideal candidate should have strong practical knowledge of financial markets along with hands-on experience in developing, testing, and implementing algorithmic trading strategies.

Key Responsibilities - Conduct classroom and online training sessions on Algorithmic Trading and automated trading strategies.

- Explain concepts such as technical analysis, quantitative trading, strategy development, backtesting, and automation.
- Train students on developing and implementing rule-based and algorithmic trading strategies.
- Demonstrate strategy backtesting, optimization, and performance evaluation using relevant tools and platforms.
- Provide practical exposure to live market data, trading platforms, APIs, and algorithmic execution workflows.
- Train students on Python/programming fundamentals relevant to algorithmic trading, where applicable.
- Explain concepts including entry/exit logic, position sizing, stop-loss, risk management, portfolio allocation, and trade execution.
- Prepare course content, presentations, study material, assignments, mock tests, and practical projects.
- Conduct live demonstrations of strategies using NSE/BSE/MCX markets and relevant trading platforms.
- Guide students in understanding strategy performance metrics, including returns, drawdown, risk-reward ratio,



win rate, and other relevant measures.
- Mentor students on developing and testing their own algorithmic trading strategies.
- Stay updated with SEBI regulations, exchange guidelines, algorithmic trading developments, and industry trends.
- Support students with career guidance, practical projects, internships, and professional development in financial markets.
- Requirements - Bachelor’s/Master’s degree in Finance, Economics, Commerce, Mathematics, Statistics, Computer Science, Engineering, or a related field.
- NISM/NCFM certification preferred/mandatory as per the training module.
- 2–5 years of practical experience in algorithmic trading, quantitative trading, trading, strategy development, or financial-market training.
- Strong understanding of technical analysis and trading strategies.
- Hands-on experience with algorithmic trading platforms, APIs, backtesting tools, or trading systems.
- Knowledge of Python or another programming language used for trading strategy development is preferred.
- Understanding of market microstructure, order types, execution, and risk management.
- Strong communication, presentation, and mentoring skills.
- Ability to simplify complex financial and technical concepts for students with different levels of experience.

Key Skills - Algorithmic Trading

- Quantitative Trading
- Technical Analysis
- Strategy Development
- Backtesting & Strategy Optimization
- Python for Trading
- Trading APIs
- Automated Trading Systems
- Risk Management
- Live Market Analysis
- NSE / BSE / MCX
- NISM / NCFM Training
- Student Mentoring & Training - What We Offer - Chance to work with a growing financial-market education institute
- Exposure to practical and real-time market training
- Opportunity to mentor aspiring traders and financial-market professionals
- Professional growth and development opportunities - Speak With Employer: +91 (phone hidden) | +91 (phone hidden) Interested candidates can share their resume at: [email protected]

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