Machine Learning Engineer
Graham Capital Management, L.P.Base Salary
$175k - $250k/yr
Responsibilities
- Analyze multiple datasets to understand relationships and generate new insights for the firm.
- Develop time-series and forecasting models to support quantitative strategies.
- Apply machine learning and advanced statistical methods to produce data sources for investment teams.
- Build and deploy services and models that support live model results and production workflows.
- Collaborate with Technology, Quantitative Research, Portfolio Management, Risk, and Operations teams to solve data-related problems.
Requirements
- An undergraduate or higher degree in Computer Science, Engineering, Operations Research, or another quantitative discipline is required.
- At least 3 years of hands-on experience with machine learning and statistics on large, unstructured datasets is required.
- Experience writing production code for multi-client systems serving model results is preferred.
- Experience with Python or C++, Spark/Scala, SQL, and distributed data processing technologies is required.
- Experience building and deploying services and models in containerized environments is required.
- Experience with scientific computing, statistics, optimization, time series, and panel data is required.
- Candidates must be able to communicate research findings to technical and nontechnical stakeholders and work independently and collaboratively across multiple projects.
Benefits
- This role requires commuting into the office Monday through Friday.
- Equal employment opportunity is provided to employees and applicants.
Tech Stack
Categories
About Graham Capital Management, L.P.
Who We Are & What We Do: Graham Capital Management, L.P. (“Graham”) is an alternative investment firm focused on innovative quantitative and discretionary investment solutions. The Firm was founded in 1994 by Kenneth G. Tropin and, as of July 1, 2027, has approximately $22 billion in assets managed on behalf of global pensions, sovereign wealth funds, endowments and foundations, investment management advisors and qualified individual investors. Culture: We believe that our greatest asset is the collective intelligence, ingenuity and integrity of our employees. Collaboration, innovation, and integrity contribute to the quality of life that is a cornerstone of the firm’s culture. Careers: Graham hires on an opportunistic basis and is interested in seeing high quality talent across various fields of expertise. Please visit Graham’s website, www.grahamcapital.com, for more information on the firm and open positions. Key Employment Factors include: -Competitive Salary + Bonus: We seek to offer employees competitive compensative packages that acknowledge and reward individuals for outstanding performance. -Collegial Work Environment: Graham promotes collaboration across multiple disciplines and is committed to building a diverse, highly talented team. -Opportunities to Advance: Potential for individuals to develop and learn, growing their careers over time. -Location: Headquartered on a beautiful campus in Rowayton, CT with easy commute to New York City and walking distance to CT beaches and restaurants. -Full Suite of Benefits: Including Comprehensive Health Insurance, Vision and Dental Insurance, Paid Vacation, 401K and Educational Assistance. -Work-Life Balance: In-house dining and fitness facilities, happy hours, recreational activities.