Graham Capital Management, L.P. - Machine Learning Engineer
Requirements
• Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline • 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets • Experience writing production code for multi-client systems serving model results is a great plus • Ability to clearly communicate research findings to technical and nontechnical stakeholders • Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments • Experience with scientific computing, statistics, optimization, time series, panel data, etc. • Comfortable handling multiple projects to solve varied problems working with multiple teams • Detail-oriented mindset • Sense of ownership of his/her work, working well both independently as well as collaboratively • This role requires commuting into the office Mondays through Fridays.
Responsibilities
• You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Benefits
• The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated. The applicable annual base salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. • GCM is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
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