As a Quantitative Trader your responsibilities will include:
- Coding of strategies to be implemented in a live trading environment, automated tools using Excel and trading-based software.
- 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.
- Data-mining and analysis of time-series (OHLC) data.
- Data Cleaning
- Back-testing, simulation, optimization, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
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 (2-4 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
- Familiarity with R, Tableau.