Algo Trading Strategies Lead
HuntingCube
- Location
- Bawana, Delhi, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- C++
- deep learning
- end-to-end
- forecasting
- GitHub
- machine learning
About the role
HuntingCube
Website:
huntingcube.com
Company:
https://www.linkedin.com/company/huntingcubeai
Industries: Human Resources Services
Job details:
Job Description
Key Responsibilities:
- Lead the development of algorithmic trading strategies using Python and C++.
- Utilize AI-assisted development tools to improve research speed, code quality, documentation, and idea generation.
- Design and implement strategies specifically for the Futures & Options (FnO) segment.
- Develop and manage scalable High-Frequency Trading (HFT) and MediumFrequency Trading (MFT) strategies for intraday and overnight levels.
- Build and execute strategies on major Indian market indices such as NIFTY, BankNIFTY, FINNIFTY, Sensex, Bankex, and others.
- Optimize performance through an in-depth understanding of hardware utilization in trading systems.
- Drive the design and development of strategies for stock options and Indian markets.
- Provide leadership and mentorship to junior members of the algo team, ensuring high-quality code and strategy performance.
- Architect and build AI/LLM-based trading agents that autonomously assist with signal generation, order execution logic, market monitoring, and real-time decision support.
- Design agentic backtesting and research pipelines that automate hypothesis generation, data preparation, strategy simulation, and performance evaluation across historical and live datasets.
- Leverage machine learning and deep learning models (e.g., time-series forecasting, reinforcement learning, pattern recognition) to enhance alpha discovery and risk management.
- Build AI-driven risk and anomaly detection systems to flag abnormal market behaviour, model drift, and strategy degradation in real time.
- Integrate LLM-powered agentic workflows (using frameworks such as LangChain, LangGraph, or similar) with market data feeds, execution platforms, and internal tooling to automate the end-to-end research-to-deployment lifecycle.
- Ensure the smooth integration of systems with NEAT, BOLT, and NNF platforms.
Required Skills & Qualifications
- 5+ years of experience in developing algorithmic trading strategies.
- Prior hands-on experience at a High-Frequency Trading (HFT) firm or desk is mandatory, with a demonstrated track record of designing, deploying, and running quantitative HFT strategies in live production markets.
- Deep understanding of the microstructure of HFT markets — including order-book dynamics, queue positioning, latency sensitivity, and the interaction between strategy design and execution speed.
- Strong understanding of mathematics with a focus on applying it to financial markets.
- Proven expertise in Python and C++ for the development of trading strategies.
- Experience working in the FnO segment and developing trading strategies based on Indian market indices.
- Hands-on experience with Medium-Frequency Trading (MFT) strategy development, in addition to HFT.
- Experience developing strategies for both intraday and overnight levels.
- Familiarity with NEAT, BOLT, and NNF systems.
- Top-tier educational background, with a preferred Masters/PhD in a relevant field.
- Strong experience with developing stock options trading strategies is essential.
- Hands on experience building AI/LLM based agents.
- Experience designing automated backtesting and research pipelines, ideally augmented with AI for data analysis, feature engineering, and performance reporting.
Preferred Qualifications
- Master’s or PhD in Mathematics, Computer Science, Finance, or a related field.
- In-depth knowledge of the Indian financial markets and regulations.
- Hands-on experience with tools such as:
- ChatGPT ,Claude ,GitHub Copilot ,Cursor AI ,Gemini ,Perplexity AI ,Windsurf ,AI coding assistants ,LLM-based research tools
- Should be able to use AI for:
- Strategy ideation ,Code generation and optimization ,Data analysis ,Research documentation ,Performance reporting ,Debugging ,Workflow automation ,Building trading agents ,Automated backtesting ,Agentic research pipelines ,ML-driven signal generation ,Risk and anomaly detection ,Natural-language querying of market data
Required Skills
['Python']
Additional Information
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