PDT Partners, a quantitative investment manager, is hiring a Data Strategy & Sourcing Specialist to join our Data Team. In this role, you will contribute to the long-term success of PDT by identifying and sourcing new datasets, collaborating with our quantitative researchers to understand their data priorities, and making informed dataset recommendations, by applying your background in financial markets and data strategy.
This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
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 manner
- Drive long-term data projects to completion
- Build and maintain relationships with data vendors
- Attend conferences and industry events
- Grow and maintain PDT's central data repository
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
- 2-5+ years of experience in finance and/or quantitative role, STEM degree preferred
- Experience with programming and data analysis/statistical modeling preferred
- Self-starter, strong sense of ownership
- Detail-oriented, desire to understand issues deeply, incredibly organized
- Strong communication, project management, and interpersonal skills
- Entrepreneurial, curious, and adaptable
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.
