Data Science Manager – NYC

T. Rowe Price - New York, NY3.9

Full-timeEstimated: $140,000 - $180,000 a year
EducationSkills
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.

About the Role:
Technologists at T. Rowe Price are playing a key role in helping build the future of financial services, working hand-in-hand with business partners to create client experiences that are changing the way people invest. We’re looking for a Leader and Mentor to manage our Data Science team in our Technology Development Center in Union Square. We seek 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.

The Data Science Manager was established to provide digital solutions and leading analytical expertise on new and novel approaches to problems and methodologies to drive better investment and service to our clients. This person will lead a team that provides models and solutions to both our Investments and Client development channels.

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 various strategies. It is expected this will be accomplished through pilot, test and learn delivery practice to support a wide range of services and projects.
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:
Directly and indirectly leads a team of Data Scientists in the development and implementation of solutions and applications across the firm
Monitors and motivates team members work performance through coaching, one on ones, and development planning
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.

Required Technical Experience:
Previous experience providing coaching and mentoring to team members in order to deliver quality service and solutions to business customers
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 (e.g. PHP) a plus, 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

Required Domain Experience and Soft Skills:
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
Experience within Asset Management, Hedge fund or Investment Bank
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)
T. Rowe Price is an Equal Opportunity Employer