Job Description

A career at T. Rowe Price says you want to contribute and make a difference at a leading global investment management firm where success results from the dedication our associates have in building success for our clients. We are a growing organization of associates from diverse backgrounds, experiences, and perspectives.



We take a long-term view on associates and their careers. Our associates do phenomenal work with purpose, and as a result, we provide growth opportunities through in-person and online training, management development programs, and career development on the job.



If you are seeking a meaningful work experience along with a workplace culture that thrives on teamwork, we invite you to explore the opportunity to join us.

T. Rowe Price seeks an Associate Data Scientist in New York, NY to develop machine learning and predictive models to support customer acquisition and investment strategies. Utilize statistical, mathematical, predictive modelling and business strategy skills to build the algorithms. Access the validity and rigor of new data sources and approaches, and the capabilities of potential solutions. Oversee data-focused initiatives already in place and being developed, and drive developments in advancing big-data and analytic services.

Requirements:

Position requires a Masters degree in Finance, Financial Engineering, Math or a related quantitative field. Graduate or Undergraduate Degree coursework must include machine learning, applied statistics probability theory, financial theory, time series analysis, and data mining techniques working with large and unmanipulated data sets, and languages of data manipulation (e.g. SQL or Python) and statistical analysis (e.g. R).

We devote a lot of energy to ensuring we offer our associates wellness, retirement and quality-of-life benefits which incorporate a wide variety of needs. Please view What We Offer to see what's available to you.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.