Job Description

This is a hands-on position with significant growth potential. The firm is looking for outstanding technical 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 ongoing 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 working with complex data sets and all stages of cleaning, preparing data to be used in a specific format