is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:
They are looking for an experienced quantitative software developer to join the fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion in technology to provide optimal solutions for research and trading.  In this team, the candidate will gain full-stack exposure and build expertise across multiple aspects of quantitative research and trading. The candidate will play an essential role in the team’s successful expansion. The candidate will also collaborate with researchers to innovate research tools which will take our research and trading capabilities to the next level.

Responsibilities:

• Collaborate with researchers to build a robust, scalable research infrastructure, including alpha estimation, risk modeling, optimization, and trade execution components

• Build visualization tools and monitors for market/trade/position/risk 

• Maintain and improve our data pipelines for large-scale data processing

• Optimize database queries for data collection 

• Maintain and troubleshoot of trading systems

• Collaborate with the infrastructure team to improve hardware infrastructure

Requirements:

• Undergraduate or higher degree in Computer Science, Mathematics, or other quantitative discipline

• 5+ years of professional software engineering experience in a collaborative environment

• Strong interest and ability in learning new languages/tools and relevant knowledge for trading

• Strong analytical and quantitative skills

• Strong programming experience in Python 3(including NumPy and Pandas) and either C++ or Java

• Strong SQL experience is required, experience in kdb is a plus

• Proficiency with the Linux environment

• Experience working with streaming and historical time series data, including a variety of messaging systems and databases

• Experience developing back-testing, simulation, and trading systems is a plus

• Detail-oriented

• Willing to take ownership of his/her work, working both independently and within a small team