Data engineer - Systematic hedge fund (PW)
New York, New York, United States, 10036
Experience: Experienced Professional (Non-Manager)
Education: Bachelor's Degree
Category: Information Technology
Industry: Financial / Financial Services
Company: Affinity North
Reference ID: WoOq9d
Date Posted: 11/07/2021
Shortcut: http://jobs.mrinetwork.com/QR80OV
Prior US work authorization required - thank you.
Please, no 3rd party - direct submissions only - no C2C - thank you.
About the Role
Our firm is looking for a to join our quantitative team to partner with Equities Statistical Arbitrage trading team. Data drives systematic trading and is critical to all aspects of the firm's business. This is a hands-on position with significant growth potential. The firm is looking for outstanding skills, strong attention to detail, and experience with both systems development and data modeling.
Responsibilities
- Communicate with quantitative researchers and other end-users to understand their requirements and potential future requests
- Investigate vendor data thoroughly to become a subject matter expert on its characteristics and irregularities
- Develop ETL processing components using cutting edge technologies, and write robust tests for on-going quality control
- Support developed transformations and ETL frameworks in production trading as well as backtest research
- Build flexible data API components in iterations with research peers to ensure their needs are met
- Optimize data IO and load balancing for distributed, grid computation
- Analyze a variety of large data sets to develop and implement alpha signals
Requirements
-
Detail oriented
- Strong programming skills, preference for Python, Java is a plus
- Experience with the scientific Python stack, Numpy, Scipy, Pandas, Matplotlib
- Ability to find practical solutions and successfully make trade-offs between long-term goals and short-term deliverables
- Ability to troubleshoot difficult problems, both numerically and technically
- Proficient with SQL, experience with Postgres is a plus
- Experience with Hadoop, Spark, and Docker is a plus
Preferred Education and Experience
- Computer Science/Math or similar degree
- 2-5 years of professional experience, ideally exposure to work with complex sets and all stages of cleaning, preparing to be used in specific format
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