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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
- Develop tools for portfolio construction, risk monitoring and trade execution analysis
- Develop critical high performance trading engines and supporting infrastructure
What we look for
Required:- 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