Lead Data Scientist

This role reports into a Director of Data Science & Analytics. The Financial Services Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities

You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies and retail banks.
You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SAS, SQL, Hive, and Pig on Linux, PC, and mainframe computing platforms.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
You will develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Required Knowledge and Experiences

Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A track record of academic excellence
At least four (4) years of professional experience performing analytic work in Financial Services or related industries
Multiple examples of demonstrated success in client-facing roles over a period of at least three (3) years
Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity with relational, MPP, and/or Hadoop data management frameworks; proficiency with Microsoft Office tools
Strong project management skills with the ability to manage multiple assignments effectively