T. Rowe Price is interested in interviewing UMBC Ph.D. candidates
graduating in May 2019 from ALL quantitative backgrounds for the
summer intern position below.
https://troweprice.wd5.myworkdayjobs.com/TRowePrice/job/Baltimore-MD/PhD-Intern_31615
Candidates are encouraged to apply directly via the link above ASAP.
PhD Intern - Multi-Asset Quantitative Research
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.
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 PhD 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 data sets
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