Data Scientist

Selby Jennings is working with a leading Market Maker who wants the top 1% of engineering talent in the space. They are seeking strong Data Scientists and/or Machine Learning Engineers to join their Data Strategies Group. This group is responsible for applying mathematical and statistical models to the financial markets, combining rigorous research and advanced technology to systematically identify and execute on investment opportunities. They use world class analytics to track and predict the financial and economic performance.

Their success relies on applying the best minds and techniques to unique and unmined datasets more quickly and more intelligently than the competition. Team consists of a diverse group of extremely talented individuals with PhDs in computer science, economics, engineering, and math, and with prior work experience in tech startups, investment banks, management consultancies, national laboratories, and academia. They rely on close collaboration with portfolio managers and analysts to ensure that the forecasts we deliver generate alpha for their investors.

The Role

• Apply statistical and predictive modeling techniques to analyze large data sets
• Analyze new data sets and determine statistical relevance to financial metrics
• Produce forecasts that can be applied to quantitative and discretionary investment strategies

Role Requirements:

• PhD degree in Computer Science, Engineering, Physics, Mathematics, Statistics or Econometrics.
• Excellent communication skills and the ability to work in a team environment
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming experience in any of the following: Python, SQL, R, MATLAB, C++, Java, C#, Perl
• Understanding of financial markets and alternative data

Accountabilities:

• Genuinely interested in understanding what factors drive a company's financial performance and how these
• factors are priced in financial markets
• Programming experience
• Detail oriented
• Ability to digest and synthesize large and unstructured data sets
• Organized and able to present ideas
• Can independently develop and test ideas related to alpha generation
• Strong work ethic
• Assertive yet willing to work within a team and take on any task
• Creative, strong work ethic and works efficiently
• Professional demeanor
• Able to present, communicate, and is approachable to team members and management
• Has self-reliance and uses good common sense
• Is able to build strong company relationships and build out network with peers and sell side analysts