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Research Engineer

What you will do

Depending on one's background and interest, a research engineer may work on one or multiple of the following areas:

Work alongside with quant researchers and contribute to our cutting-edge research infrastructure
  • Investigate research methodologies for data analysis, statistical inference, machine learning
  • Implement research tools and frameworks to make our quantitative analysis workflow more robust, automated, scalable
Enhance our automated trading framework
  • Develop tools for portfolio construction, risk monitoring and trade execution analysis
  • Develop critical high performance trading engines and supporting infrastructure
What we look for
  • Intellectual curiosity and integrity
  • Proficiency in one or more programming languages (C++, Python, and R)
  • Experience with scientific computing and algorithm development
  • Proficiency or strong interest in building robust and efficient software
  • Bachelor's, Master's or PhD degree in Engineering, Computer Science, Mathematics, Statistics, or equivalent experience
  • Excellent written and verbal communications skills
  • Comfortable working in a fast-paced environment
  • Experience in R or Python (Pandas, NumPy, SciPy, scikit-learn) is a plus
  • Knowledge in Databases (PostgreSQL, etc.) and NoSQL alternatives (MongoDB, etc.) is a plus

Note: background in finance is not a requirement. You will pick them up as needed.

What we believe in
  • Simplicity and transparency is preferred to complexity and obscurity
  • Testing and documentation is an integral part of the development cycle
  • Good technology is an essential element in the success of a quantitative hedge fund
What we offer
  • Competitive salary and performance-based bonuses
  • Medical, dental and disability insurance, and flexible healthcare and commuter spending accounts
  • Premium snacks and beverages
  • Weekly onsite Yoga classes