About the Job
Company: Time Line Investments Pvt LtdLocation: Bangalore, India
Job Type: Full-Time, Office-Based
CTC: ₹4 LPA to ₹ 5 LPA
Experience: 0-1 year
We are seeking a Python Developer to work on developing and deploying live trading strategies in the Indian stock market. The role requires a strong technical background, proficiency in Python, and the ability to work with brokers and technical teams to deploy strategies efficiently. You will be responsible for building trading algorithms from scratch and deploying them successfully for live market sessions.
You will also be collaborating closely with tech teams, working on API socket connections, and optimising performance for the algorithmic trading strategies developed and deployed.
Key Responsibilities:
1. Algorithm Development: Design, code, and deploy algorithmic trading strategies from scratch using Python, including strategies for equities, derivatives, and other financial instruments in the Indian stock market.
2. Live Strategy Deployment: Ensure smooth deployment of live trading strategies and work closely with brokers' technical teams to integrate with their systems.
3. API & Socket Integration: Develop, manage, and optimize API and socket-based connections for real-time data feeds and order execution, ensuring low latency and high performance. Example: REST API, WEB SOCKET and so on.
4. Collaboration: Work with cross-functional teams (including data scientists, business analysts, and tech teams) to align on strategy and execution goals.
5. Continuous Monitoring: Monitor live trading systems and ensure timely troubleshooting, debugging, and performance optimization.
6. Research & Development: Stay up to date with the latest research in AI, machine learning, and quantitative finance. Incorporate new techniques and tools into trading strategies as appropriate.
7. Documentation: Document the strategies, codebase, and deployment processes clearly for future reference and scalability.
Required Skills & Qualifications:
1. Programming Language: Strong proficiency in Python, including knowledge of OOP (Object-Oriented Programming) principles.
2. AI/ML Knowledge: Experience with AI/ML models, particularly in predictive modelling, statistical learning, and optimization techniques as applied to financial markets.
3. Algorithmic Trading: Knowledge of algorithmic trading strategies, especially in equities and derivatives markets.
4. High-Frequency Trading (HFT): Familiarity with HFT and performance optimisations (real-time data feeds, latency issues, order execution).
5. API & Socket Programming: Strong experience with real-time data APIs (e.g., FIX, WebSocket’s, REST) and handling socket connections for live trading environments to connect broker account with stock exchange.
6. Technical Collaboration: Ability to work with technical teams from brokers and exchanges for system integration and troubleshooting.
7. Problem-Solving Skills: Strong analytical thinking, problem-solving, and debugging abilities, especially in high-pressure environments.
8. Mathematical Skills: Solid understanding of mathematical concepts, probability, and statistics, especially in the context of financial modelling.
Desired Skills (Good to Have):
1. Experience in HFT/Algo Trading: Direct experience in high-frequency trading and low-latency algorithm development is a significant plus.
2. Database Knowledge: Familiarity with databases (SQL, NoSQL) for efficient data storage and retrieval in high-performance trading systems.
3. Cloud/Infrastructure Experience: Familiarity with cloud technologies (AWS, GCP) and containerization (Docker, Kubernetes) is a plus.
4. Financial Market Knowledge: Understanding of Indian stock market operations, exchanges (NSE, BSE), trading instruments, and market microstructure.
5. Version Control: Proficiency in version control systems like Git.
Minimum Experience:
1. Experience: 1 year in quantitative finance, algorithmic trading, or quantitative development.
2. Industry Experience: Proven experience in deploying live trading systems in the Indian stock market or other high-frequency trading environments.
Number of Openings
1 openingsPerks of this Jobs
5 days a week
Skills
MERN, Stock Trading, Postman, APIs, WebSockets, Python Libraries, Python, REST API, Flask
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