Responsibilities
- Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world
- Assisting in the development of a tick by tick backtesting research platform
- Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
- Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
- Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
- Creating tools to analyze data and generate insights that research decisions are based on
Required Qualifications
- At least 1-3 years of practical experience with C++ and Python
- A strong background in data structures, algorithms, and object-oriented programming
- Good experience with other programming languages such as Java
- Strong working knowledge of Linux and SQL
- Brilliant detail oriented problem-solving abilities
- Passion for innovation and building systems from the ground up
- A self-starter attitude with the ability to work independently and own problems
- The ability to manage multiple tasks and make decisions in a fast-paced environment
- Strong communication skills in English for business purpose
Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on the quality of life.
Benefits include:
- Competitive salary and performance-based bonuses
- 5 weeks of paid vacation per year
- Lunch and dinner on a daily basis
- Engagement with seniors to learn beyond project requirements
