Stock Market Trainer (ALGO Trainer)

ICFM - Institute of Career In Financial Market (Unit of Career Pro Ventures Ltd)

Delhi

On-site

INR 600,000 - 1,100,000

Full time

12 days ago

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Benefits offered by this job

Growth opportunities

Real-time market training

Mentor peers

Job summary

ICFM - Institute of Career In Financial Market (Unit of Career Pro Ventures Ltd) seeks an experienced Algo Stock Market Trainer to guide students and professionals in algorithmic trading, quantitative strategies, and automated systems.

The role covers classroom and online training, technical analysis, backtesting, and live demonstrations on major Indian exchanges, with emphasis on practical market-ready skills.

Qualifications

Bachelor’s or master’s degree in finance, economics, commerce, mathematics, statistics, computer science or engineering.
NISM/NCFM certification preferred/mandatory per module.
2–5 years of practical experience in algorithmic or quantitative trading, or financial-market training.

Responsibilities

Conduct classroom and online training sessions on Algorithmic Trading and automated strategies.
Explain technical analysis, quantitative trading, strategy development, backtesting and automation.
Train students on rule-based and algorithmic trading strategies.
Demonstrate backtesting, optimization and performance evaluation using relevant tools.
Provide practical exposure to live market data, trading platforms and APIs.
Train students on Python programming fundamentals relevant to algorithmic trading.
Explain entry/exit logic, position sizing, stop-loss and risk management.
Prepare course content, presentations, study material, assignments and mock tests.
Conduct live demonstrations of strategies on NSE/BSE/MCX platforms.
Guide students on strategy performance metrics and risk-reward evaluation.
Mentor students in developing and testing their own strategies.
Stay updated with SEBI regulations, exchange guidelines and market developments.
Support students with career guidance and professional development.

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

Education

Bachelor’s/Master’s degree in Finance, Economics, Commerce, Mathematics, Statistics, Computer Science, Engineering

NISM/NCFM certification

Tools

Trading Platforms

Backtesting Tools

APIs

Job description

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

Job Title: Algo Stock Market Trainer

Location: Laxmi Nagar, Delhi

Employment Type: Full-time

Experience: 2-5 Years

About ICFM

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.