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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