Data Scientist, Financial Services Consulting
About The Position
The Data Scientist will join TransUnion’s client-facing Financial Services Consulting team and report to a Senior Manager of Data Science & Analytics. The team develops analytic solutions for the U.S. financial services industry, including predictive risk management and business intelligence solutions for fintechs, credit card issuers, collections agencies, and retail banks. The role partners with internal and external cross-functional teams to develop new business initiatives and long-term, value-added product propositions. It leads client engagements using descriptive, predictive, and prescriptive analysis across the consumer lending portfolio lifecycle. The position also develops data programs and statistical analyses, communicates insights and recommendations to customers and executives, and supports adoption of TransUnion’s analytic products and services. This is a hybrid position, with job responsibilities performed virtually and in person at an assigned TransUnion office at least two days per week. Travel of approximately 10% to 20% may be required based on business needs.
Requirements
- Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field, with a demonstrated record of academic excellence.
- At least one year of experience performing analytical work within Financial Services or a related industry.
- Strong analytical, critical-thinking, and creative problem-solving skills, including the ability to evaluate complex information and develop effective, data-informed solutions.
- Interpersonal and communication skills to work across organizational levels and with external stakeholders in a collaborative, fast-paced environment.
- Ability to travel approximately 10% to 20%, based on business needs.
- Advanced programming skills and mastery of a statistical programming language such as R or Python.
- Experience with additional programming and data-manipulation languages, including SQL, Hive, C/C++, or Java.
Responsibilities
- Partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for U.S. financial services customers.
- Lead client analytic engagements involving descriptive, predictive, and prescriptive analysis throughout the consumer lending portfolio lifecycle.
- Apply techniques such as segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, and scenario and sensitivity analysis.
- Design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, and SQL.
- Present analytic insights and recommendations in succinct, compelling formats for internal and external customers and executive audiences.
- Develop project proposals, sales presentations, and promotional collateral to support adoption of integrated customer solutions.
- Identify strategies and opportunities for customers to test and adopt TransUnion analytic products and services.
- Mentor and train junior colleagues and maintain progress on initiatives under limited direct supervision.
- Foster a high-performance culture and an environment that promotes excellence and reflects the TransUnion brand.
- Adhere to company policies, use sound judgment, work safely, communicate respectfully, and safeguard business operations, confidential and proprietary information, and the company’s reputation.
Benefits
- Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options.
- Spousal, domestic partner, and eligible dependent coverage on select plans.
- Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
- Company-paid basic life and AD&D insurance, optional voluntary life and AD&D coverage, and short- and long-term disability.
- Optional legal plan, pet insurance, and travel accident coverage.
- Adoption assistance, fertility planning coverage, caregiver support, Dependent Care FSA with the possibility of an employer match, and Care@Work membership.
- Up to 12 weeks of paid parental leave, with eligibility for a gradual return.
- 401(k) with employer match and Employee Stock Purchase Plan (ESPP).
- Financial wellness resources and career coaching.
- Optional long-term care insurance.
- Tuition reimbursement.
- Flexible time off for exempt employees or paid time off for nonexempt employees.
- Up to 12 paid holidays per year.
- Commuter benefits, employee discounts, charitable gift matching, and paid volunteer time off.
- Corporate volunteer events.
- 24/7 access to professional therapy, coaching, emotional well-being programs, guided meditation, and physical, mental, social, and financial wellness resources.
- Regular full-time non-sales positions may be eligible for the annual bonus plan; certain positions may also be eligible for long-term incentives and other payments.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
