Data engineer - Systematic hedge fund (PW)

New York, New York, United States, 10036


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Type: Permanent

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/sq2VlA


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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