Ph.D. Intern – Multi-Asset Quantitative Research @ T. Rowe Price
APPLY here-
    https://troweprice.wd5.myworkdayjobs.com/TRowePrice/job/Baltimore-MD/PhD-Intern_31615
    Our mission as a leading investment management firm is to help our clients achieve their long-term financial goals. We believe our associates are the key to this mission and we are always looking for talented individuals who share our commitment to our client’s success.
If you’re looking for challenging work experiences and the ability to learn in a collaborative culture, we invite you to explore the opportunities available at T. Rowe Price.
PRIMARY PURPOSE OF THE POSITION
    The summer intern will support the Multi-Asset Research Team by conducting financial and quantitative/statistical analysis usually at the asset class level, covering the areas of strategic and tactical asset allocation, financial planning research, data/infrastructure, and product design projects as needed.
PRINCIPAL RESPONSIBILITIES
    Independently, or in collaboration with other quantitative or technical analysts, under the guidance of the Director of Research, execute research projects that have been identified to meet the investment needs of the broader Multi-Asset Division:
    Identify the core issue and shape/design the project
    Identify and absorb existing research on the subject (internal or external)
    Identify (and procure) the most appropriate method/tool/dataset to address the issue
Execute operational duties, such as ongoing generation and maintenance of asset allocation related investment reports, data sets, or analytical infrastructure.
Perform data analysis and information gathering in response to ad hoc inquiries.
QUALIFICATIONS
    Required
    Must be a Ph.D. candidate expected to graduate in May ’19 majoring in a quantitative discipline
    Strong academic credentials and evidence of ability to independently deliver results
    Experience programming in Matlab, Splus/R, Python, and SQL
    Experience conducting empirical research working with large datasets
    Strong analytical and problem-solving skills; willingness to learn new approaches to problem-solving
    Ability to work independently as well as a part of a team
    Excellent oral and written communication skills
    Ability to multi-task and to simultaneously push forward several projects
Preferred
    Interest in financial markets
    Knowledge of investments, portfolios, and quantitative analysis
Posted: November 27, 2017, 1:11 PM