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Quantitative Software Engineer | Machine Learning | Boston
One of Boston's most elite quantitative investment firms is building out a brand-new team to expand the scope of their quantitative research capabilities. This role will build the critical backend systems, innovative data visualizations, and interface directly with Quant Researchers and Managers to deliver and analyze real-time data using Python based Machine Learning and AWS cloud computing and storage.
Help define a new team's identity:
Use cutting edge Machine Learning and Cloud computing tools to support alpha research, portfolio construction, and risk management
Join an elite organization with some of the industry's most successful portfolio managers and innovative software engineers
Collaborate on a small, focused team as they solve new quantitative engineering challenges in an enterprise Fintech environment
Expertise building backend systems or financial tools with Python (4+ years of experience)
Experience with Machine Learning or Data Science oriented Python frameworks
Experience with SQL or NO-SQL
Exposure to AWS tools is preferred, but not required
Prioritize your long-term growth and value:
Extremely competitive employee benefits program and compensation
One of the best-rated work cultures and work/life balances across the entire industry
Further develop your expertise in Machine Learning, Cloud Computing, and Quantitative Investment and Research alongside Finance's highest caliber engineers
This high priority role will work directly with Portfolio Managers and Quantitative Researchers to understand how to create the investment tools of tomorrow. Give yourself a chance to secure elite compensation, and develop a skill set that's getting more and more valuable every day. Design and build solutions optimized for high throughput data, large scale distributed systems, big data, cloud computing, and machine learning. If you are looking to join a small team focused on pushing innovation at one of the world's best quantitative investment firms, please do not hesitate to apply today!