Stock Market Trainer; ALGO Trainer

Position: Stock Market Trainer (ALGO Trainer)
Location: Preet Vihar

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  Opportunity 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

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