Job description
Data Scientist
Location: Chicago, New York
About Us
Stott and May is proud to represent one of the world's leading alternative investment managers. Our client manages capital on behalf of preeminent private, public, and nonprofit institutions globally. Their mission is to deliver market-leading results and contribute to broader economic growth by optimizing the use of investor capital. For over 30 years, they have fostered a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers, and engineers. They empower their team members to test their ideas and develop commercial solutions that drive growth and impact.
About the Team
The team leverages world-class analytics to track and predict the financial and economic performance of companies and countries globally. Their success is built on applying top-tier minds and techniques to unique and unmined datasets more quickly and intelligently than the competition. The diverse group consists of individuals with Ph.Ds in computer science, economics, engineering, and math, with prior experience in tech startups, investment banks, management consultancies, national laboratories, and academia. Close collaboration with portfolio managers and analysts ensures that their forecasts generate alpha for investors.
The Role
- Apply statistical and predictive modeling techniques to analyze large data sets
- Evaluate new data sets for statistical relevance to financial metrics
- Produce forecasts for use in quantitative and discretionary investment strategies
Role Requirements
- Advanced degree in Computer Science, Engineering, Physics, Mathematics, Statistics, or Econometrics (PhD preferred)
- Excellent communication skills and the ability to work effectively in a team environment
- Proven ability to conduct independent research utilizing large data sets
- Programming experience in Python, SQL, R, MATLAB, C++, Java, C#, or Perl
- Understanding of financial markets and alternative data
Accountabilities
- Strong interest in understanding factors driving a company's financial performance and their pricing in financial markets
- Proficient in programming and detail-oriented
- Capable of digesting and synthesizing large and unstructured data sets
- Organized with the ability to present ideas effectively
- Able to independently develop and test alpha generation ideas
- Strong work ethic, assertive yet collaborative
- Creative, professional demeanor, and efficient worker
- Excellent presentation and communication skills, approachable to team members and management
- Self-reliant with good common sense
- Skilled in building strong relationships within the company and network with peers and sell-side analysts
Why Join?
Join a team where your ideas are valued, your growth is supported, and you have the opportunity to drive real impact in the world of alternative investment management. If you are passionate about using data to unlock financial insights and generate alpha, we want to hear from you.
To apply, please contact Stott and May.