Our client is seeking a Quantitative Algorithmic Developer to work in their Chicago office.
Their raining program provides both significant responsibility as well as creative freedom in approach.
New hires are set up to succeed: projects are matched against individual skill sets and managers provide close mentorship, ensuring a tailored learning experience with a high likelihood of long term career growth.
Responsibilities:
- Collaborating with research teams to design and implement new trading strategies
- Designing and optimizing tools for strategy back-testing
- Performing post-trade analysis
- Generalizing trading innovations to new asset classes and venues around the globe
Requirements:
- Advanced training in Computer Science, Mathematics, Statistics, Physics or other highly quantitative fields
- Extensive programming experience with strong object oriented design skills and fluency in C, C++, or Java
- Experience with algorithms and data structures
- Strong knowledge of probability & statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
- Demonstrated ability to communicate complex ideas in a clear, concise fashion
- Ability to thrive in a complex, fast-paced, and highly technical environment
Useful:
- Experience with analysis, manipulation, and maintenance of large datasets (e.g., R, Matlab)
- Independent research experience
- Basic knowledge of tradable financial instruments (securities, derivatives) and capital markets
