Data Scientist, GD1

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 900 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

The Team:

We are looking for an exceptional Data Scientist to join our GD1 trading team managing systematic equity strategies. The team focuses on non-latency sensitive investment opportunities across geographies. The team is responsible for the complete lifecycle of quantitative investment process; research, development, and trading of systematic strategies. The team strongly emphasises cutting-edge innovative scientific research, and is looking to add an individual who is enthusiastic about contributing within a team environment.

Responsibilities:

• Design, develop and maintain data pipelines to be used in research/trading
• Translate business needs into data science projects
• Collaborate with stakeholders from different departments at each stage of project
• Communicate projects and results to audiences with different backgrounds

Qualifications:

• Masters or PhD degree in computer science, engineering, statistics, math or related field
• Proven track record in a data science role solving real-world business problems
• 3+ Year experience in working in a python ecosystem for data science
• Experience working with large datasets, data cleaning, preprocessing, and feature engineering
• Experience building, validating, deploying, monitoring, and updating predictive models
• Excellent programming and scripting skills
• Experience working independently and delivering results
• Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
• Strong collaboration skills
• Positive, team focused attitude

Following qualifications are a plus:

• Publications in relevant conferences and journals
• Experience with running machine learning models on cloud platforms
• Experience with hardware (GPU, FPGA,...)
• Software best practices (agile, version control, experiment tracking, code review etc.)

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