Data Strategist

PDT Partners, a quantitative investment manager, is hiring a Data Strategist to join our Data Team. In this role, you will identify and source new datasets, collaborating with our quantitative researchers to understand their data priorities and contributing to PDT's long-term success.   

This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.  

Why join us?  

PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. 

Responsibilities: 

• Understand and monitor the data landscape and financial markets
• Source and conduct initial evaluation of new datasets
• Communicate data recommendations aligned with research priorities
• Own data lifecycle, coordinating across teams (Legal, Compliance, Data Engineering, Procurement, etc.) to deliver datasets in timely fashion
• Drive long-term data projects to completion
• Build and maintain relationships with data vendors
• Attend and participate in conferences and industry events
• Grow and maintain PDT's central data repository
• With time, originate and execute on data projects
• With time, help determine firm’s overall data strategy 

Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people. 

• Demonstrated passion for quantitative finance, trading, and data science (key!)
• 2-5+ years of experience in finance and/or quantitative role, STEM degree preferred
• Self-starter, strong sense of ownership, productive / able to execute
• Detail-oriented, wants to understand issues deeply, organized
• Strong communication skills (writing and public speaking; translate across technical / non-technical audiences)
• Strong project management skills (time management, sense of urgency, able to scope projects effectively)
• Strong interpersonal skills (enjoys meeting new people and building relationships; not afraid to pick up the phone)
• Adaptable (capable of context-switching, balancing multiple projects, working across teams and disciplines)
• Entrepreneurial and curious (with time, able to determine which datasets/ leads are worth pursuing more deeply) 

The salary range for this role is between $180,000 and $250,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors. 

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