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.
Technologists at T. Rowe Price are playing a key role in helping build the future of financial services, working hand-in-hand with our investors to help drive better decisions that provide excellent outcomes for our clients. We’re looking for Data Scientists to join our Technology Development Center in Manhattan. We want technologists with a fresh perspective who are passionate about solving complex business, data and technical challenges
You’ll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You’ll be involved, hands-on, through the entire development cycle. And you’ll redefine the way our traders, portfolio managers and analysts serve our clients. We will expect you to be agile / to lead / to think outside the box. In return, we’ll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that’s how we help our clients succeed.
Core Attributes:
- Ideal candidate will have strong collaboration skills as well as possess statistical, mathematical, predictive modelling and business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.
- The incumbent will be expected to develop attribution, segment and predictive models to support our investments research process. It is expected this will be accomplished through pilot, test and learn delivery practice to support a wide range of deliverables with our business partners.
- Equally important to possessing strong technical skills, the ideal candidate will be a strong communicator able to communicate their findings, orally and visually. They need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.
- Focused on delivering value to the business with relentless efforts to improve process.
- Exceptional technology skills; recognized by your peers as an expert in your domain.
- A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches.
- Seeks data from, gains opinions on industry trends, issues and solutions .Formally or informally benchmarks IT’s processes, vendor experiences and priorities against other organizations in the industry. Takes appropriate actions as a result.
Principal Responsibilities:
Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting.
- Drives adoption of Data Science techniques within investments domain
- Works across firm to enable data scientists to learn and adopt best practices and new technologies
- Represent the data science community at internal and external forums
- Stays abreast of industry trends, driving leading edge changes and championing firm adoption of new technologies
- Operates as a hands-on technologist, delivers within a team as an individual data scientist
- Is held accountable for realizing broader strategy within the Data Science community at the firm
- Leads the firm’s most ambitious, business critical and/or complex Data Science projects
- Maintains a broad professional network both internally and externally and leverages it skillfully to achieve results
Required Technical Experience:
- A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis and data mining techniques
- Experience in working with large structured and unstructured data sets
- Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with ability to code a plus: e.g. Java, Ruby, Clojure, Matlab, Pig or SQL
- Understanding of Hadoop, Hive and/or MapReduce
- Natural Language Processing
- Machine Learning
- Conceptual modelling
- Statistical analysis & Predictive modeling
- Hypothesis testing
Domain Experience and Soft Skills:
- Current or prior experience as a Data Scientist in the investments/asset management or financial services domain helpful
- Ability to successfully partner and communicate with all levels of an organization
- Ability to collaborate and communicate effectively both with IT, with business management and a demonstrated ability to influence and impact the business
- Strong interpersonal skills and ability to forge relationships resulting in successful partnerships
- Strong negotiation skills, business acumen and customer focused
- Confident communicator; able to argue a point concisely and deal positively with conflicting views
- Enthusiasm for learning & results oriented
Required Education:
Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics) and 2+ years of professional data science experience.