Quantitative Developer

Open Futures is a proprietary algorithmic trading firm looking for candidates to take on the role of a Quantitative developer in the trading team. We are very well backed and have a presence across multiple cities in India. We trade across multiple asset classes across exchanges. The successful candidate will be part of our trading team that is responsible for developing low latency real-time software/trading strategies for High- Frequency Trading.

As a Quantitative Developer, your responsibilities will include:

• To work along-side Quantitative Researchers and Senior Traders to code and develop trading strategies and low latency trading systems.
• Design, development, and testing of high-performance algorithmic trading software using mathematical and Computer Science.
• Real-time trade management and risk analysis platforms & Low-level systems optimizations for data processing.
• Collaborate with experienced teammates to learn and implement bespoke solutions that balance speed, features, and cost to improve our technology stack.
• A strong understanding of object-oriented design, data structures, and
  algorithms.
• Management and modification of existing software for optimal results and working with large data sets.

What will bring you to the team:

• A degree in Computer Science, Electrical Engineering, Mathematics, Physics or, a related discipline.
• A rich professional work experience (2-6 years) using C/C++ and Python in a UNIX / LINUX environment.
• Knowledge of network, parallel/distributed, multithreaded programming would be very helpful, as would knowledge of Linux kernel programming.
• Good knowledge of, FIX protocol, network programming (TCP/IP), multi‐threaded applications, computational intelligence, real‐time programming or, GUI programming.
• Hard-working, Self-Motivated, and willingness to see a task through to the end are some of the attributes that we are looking for.
• The ability to manage multiple tasks in a fast-paced environment
• Thinking out of the box is highly encouraged and an open environment to work/experiment is provided to those who are out there to learn and grow.