Senior Software Developer

Job Overview:

Senior software developer

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:

• 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.

• Live Strategy Deployment:

  Ensure smooth deployment of live trading strategies and work closely with brokers' technical teams to integrate with their systems.

• 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.

• Collaboration:

  Work with cross-functional teams (including data scientists, business analysts, and tech teams) to align on strategy and execution goals.

• Continuous Monitoring:

  Monitor live trading systems and ensure timely troubleshooting, debugging, and performance optimization.

• 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.

• Documentation:

  Document the strategies, codebase, and deployment processes clearly for future reference and scalability.

Required Skills & Qualifications:

• Programming Language:

  Strong proficiency in

  Python

  , including knowledge of OOP (Object-Oriented Programming) principles.

• AI/ML Knowledge:

  Experience with AI/ML models, particularly in predictive modeling, statistical learning, and optimization techniques as applied to financial markets.

• Algorithmic Trading:

  Knowledge of algorithmic trading strategies, especially in equities and derivatives markets.

• High-Frequency Trading (HFT):

  Familiarity with HFT and performance optimisations (real-time data feeds, latency issues, order execution).

• API & Socket Programming:

  Strong experience with real-time data APIs (e.g., FIX, WebSockets, REST) and handling socket connections for live trading environments.

• Technical Collaboration:

  Ability to work with technical teams from brokers and exchanges for system integration and troubleshooting.

• Problem-Solving Skills:

  Strong analytical thinking, problem-solving, and debugging abilities, especially in high-pressure environments.

• Mathematical Skills:

  Solid understanding of mathematical concepts, probability, and statistics, especially in the context of financial modelling.

Desired Skills (Good to Have):

• Experience in HFT/Algo Trading:

  Direct experience in high-frequency trading and low-latency algorithm development is a significant plus.

• Database Knowledge:

  Familiarity with databases (SQL, NoSQL) for efficient data storage and retrieval in high-performance trading systems.

• Cloud/Infrastructure Experience:

  Familiarity with cloud technologies (AWS, GCP) and containerization (Docker, Kubernetes) is a plus.

• Financial Market Knowledge:

  Understanding of Indian stock market operations, exchanges (NSE, BSE), trading instruments, and market microstructure.

• Version Control:

  Proficiency in version control systems like

  Git

  .

Minimum Experience:

• Experience:

  1-4 years in quantitative finance, algorithmic trading, or quantitative development.

• Industry Experience:

  Proven experience in deploying live trading systems in the Indian stock market or other high-frequency trading environments

Location preferences

• We are looking for candidates from Bengaluru, Mysuru, Tumakuru, and Andhra Pradesh

Language preference

• Should have excellent communication skills in spoken and written English.Good spoken language skills in Kannada, Telugu, or both.