Objective To research market data, identify profitable trading patterns, and develop systematic trading logic for backtesting and automation. --- Key Responsibilities Analyze price behavior of Gold and Index instruments across multiple trading sessions. Identify, test, and document technical patterns involving indicators such as VWAP, RSI, ATR, and Bollinger Bands. Design strategy logic sheets with clearly defined entry, stop-loss, and target parameters. Conduct manual backtesting in Excel to evaluate win rate, risk-reward ratio, and drawdown metrics. Collaborate with the Trading Systems Developer to automate and optimize strategies. Maintain comprehensive research reports and track strategy performance results. Strong analytical and numerical reasoning skills. Proficiency in Microsoft Excel; familiarity with Python or TradingView scripting is an added advantage. A deep curiosity for financial markets and a disciplined, research-driven mindset. Job Types: Full-time, Fresher Pay: ₹20,000.00 per month Benefits: Health insurance Work Location: In person
Role Overview: We are hiring Data Science / AI & ML graduates who are passionate about applying their analytical and programming skills to financial market research and trading automation . You will work with our core quant and tech teams to design, test, and optimize AI-based trading strategies. Key Responsibilities: Research and analyze market data (Indian Stock Markets, Indices, Commodities, Forex) using Python. Build and test trading models using Machine Learning, Deep Learning, or Quantitative Logic . Work on data cleaning, feature extraction, and backtesting frameworks. Develop dashboards and performance trackers for live strategies. Collaborate with developers to automate models for real-time execution. Document findings, strategy results, and improvement ideas. Preferred Qualifications: Education: B.Tech / B.E. in Data Science , Artificial Intelligence , or Machine Learning . Strong understanding of statistics, algorithms, and model evaluation. Skills: Proficiency in Python , Pandas , NumPy , Matplotlib . Knowledge of Machine Learning , Time-Series Analysis , or Reinforcement Learning . Familiarity with APIs , SQL , or TradingView/Python backtesting is a plus. Interest in finance, markets, or trading is highly desirable. Who Can Apply: Final-year students or freshers (0–1 year experience). Strong analytical thinkers eager to work on AI + Trading applications. Candidates who want to build a long-term career in AI-based Trading, Quant Research, or FinTech . What You’ll Get: Real-world exposure to financial data and algorithmic systems . Hands-on mentorship in AI model building, backtesting, and automation. Opportunity for pre-placement offer (PPO) based on performance. Dynamic startup environment with fast growth opportunities. Job Types: Full-time, Permanent, Fresher Pay: ₹240,000.00 per year Benefits: Health insurance Work Location: In person
Role Overview: We are hiring Data Science / AI & ML graduates who are passionate about applying their analytical and programming skills to financial market research and trading automation . You will work with our core quant and tech teams to design, test, and optimize AI-based trading strategies. Key Responsibilities: Research and analyze market data (Indian Stock Markets, Indices, Commodities, Forex) using Python. Build and test trading models using Machine Learning, Deep Learning, or Quantitative Logic . Work on data cleaning, feature extraction, and backtesting frameworks. Develop dashboards and performance trackers for live strategies. Collaborate with developers to automate models for real-time execution. Document findings, strategy results, and improvement ideas. Preferred Qualifications: Education: B.Tech / B.E. in Data Science , Artificial Intelligence , or Machine Learning . Strong understanding of statistics, algorithms, and model evaluation. Skills: Proficiency in Python , Pandas , NumPy , Matplotlib . Knowledge of Machine Learning , Time-Series Analysis , or Reinforcement Learning . Familiarity with APIs , SQL , or TradingView/Python backtesting is a plus. Interest in finance, markets, or trading is highly desirable. Who Can Apply: Final-year students or freshers (0–1 year experience). Strong analytical thinkers eager to work on AI + Trading applications. Candidates who want to build a long-term career in AI-based Trading, Quant Research, or FinTech . What You’ll Get: Real-world exposure to financial data and algorithmic systems . Hands-on mentorship in AI model building, backtesting, and automation. Opportunity for pre-placement offer (PPO) based on performance. Dynamic startup environment with fast growth opportunities. Job Types: Full-time, Permanent, Fresher Pay: ₹240,000.00 per year Benefits: Health insurance Work Location: In person
Role Overview: As a Data Science / AI & ML graduate at our company, you will have the exciting opportunity to apply your analytical and programming skills to financial market research and trading automation. Working closely with our core quant and tech teams, you will be responsible for designing, testing, and optimizing AI-based trading strategies. Key Responsibilities: - Research and analyze market data from Indian Stock Markets, Indices, Commodities, and Forex using Python. - Build and test trading models utilizing Machine Learning, Deep Learning, or Quantitative Logic. - Engage in data cleaning, feature extraction, and backtesting frameworks. - Develop dashboards and performance trackers for live strategies. - Collaborate with developers to automate models for real-time execution. - Document findings, strategy results, and improvement ideas. Preferred Qualifications: Education: - B.Tech / B.E. in Data Science, Artificial Intelligence, or Machine Learning. - Strong understanding of statistics, algorithms, and model evaluation. Skills: - Proficiency in Python, Pandas, NumPy, Matplotlib. - Knowledge of Machine Learning, Time-Series Analysis, or Reinforcement Learning. - Familiarity with APIs, SQL, or TradingView/Python backtesting is a plus. - Interest in finance, markets, or trading is highly desirable. What You'll Get: In this role, you can expect: - Real-world exposure to financial data and algorithmic systems. - Hands-on mentorship in AI model building, backtesting, and automation. - Opportunity for a pre-placement offer (PPO) based on performance. - Dynamic startup environment with fast growth opportunities. Job Types: Full-time, Permanent, Fresher Benefits: - Health insurance Work Location: In person,