Senior Python Software Engineer

Our group is responsible for building software enabling both large-scale quantitative research operations and the production of our trading portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth.

We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring

Requirements:

• A minimum of 7 years of writing production-quality code in Python on the Linux platform

• Candidate must be willing to learn C++ %28experience in C++ is a strong plus%29

• Candidate must have a strong interest and motivation to work with machine learning, deep learning, and backtesting platform design and development technologies %28prior experience is not required but will be considered a strong plus%29

• Strong understanding and experience with Linux system programming fundamentals

• Ability to develop large-scale, distributed systems

• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns

• Self-motivated and able to work independently with minimal direction

• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Developing systems for managing and performing computation on large-scale graph data

• Streaming / dataflow systems

• Candidates need not have prior experience in financial services.

What We Offer

• Competitive compensation package

• Core benefits including premium private health insurance and life insurance with savings plan

• Support for every aspect of life through Employee Assistance Program and fully covered sick leave

• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences

• Regular offsite team buildings, annual conferences, and occasional global summits – opportunity to travel and connect with our local and global teams