What We'll Bring :
We are seeking a Data Scientist to join a dynamic and fast paced team. This position applies analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from credit risk models for acquisition and account management, cross-
sell applications, portfolio models for regulatory applications, fraud detection solutions, event-based trigger solutions, marketing and propensity models for customer acquisition and retention, and strategy analyses of various kinds.
This position will also develop complex analytic solutions directly with TransUnion customers, business partners and other departments.
What You'll Bring :
Master’s degree in Statistics, Mathematics, Business, Finance, Economics, or equivalent, along with 3 or more years of relevant work experience or Bachelor’s degree along with 5 or more years of relevant work experience
Demonstrated interest in Financial Services or related industries (e.g., relevant internships).
Advanced programming skills; proficiency with a statistical language such as R or SAS; and a high level of familiarity with Microsoft Office tools.
Strong project management skills with the ability to manage multiple assignments effectively.
What We'd Love to See :
Previous experience in using other programming and data manipulation languages preferred (SQL, Hive, Python).
Operates with little supervision in a complex and dynamic, matrixed environment.
Experience working with credit bureau data and solutions preferred.
Strong communication skills. Speaks and writes clearly and articulately. Maintains high standard in all forms of communication.
Proficiency in English is required. Other Asian languages a plus.
Impact You'll Make :
Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-
added product propositions for TransUnion’s customers. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, retail banks and other credit lenders.
Participate in projects with statisticians & solutions consultants on 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).
Design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SAS, SQL and Hive.
Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
Develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
Identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
Foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
TransUnion Job Title
Sr Analyst, Data Science and Analytics