Data Scientist, Financial Services Consulting

TransUnionChicago, IL
$67,500 - $112,500Hybrid

About The Position

This Data Scientist will report into a Senior Manager of Data Science & Analytics, joining the Financial Services Consulting team. The Financial Services Consulting team at TransUnion 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. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. 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. You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for 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 Fintechs, credit card issuers, 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, gradient boosted trees, survival analysis, principal component analysis, 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, Python, and SQL. 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.

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, with the ability to evaluate complex information and develop effective, data-informed solutions.
  • Versatile interpersonal and communication skills, with the ability to communicate effectively across multiple organizational levels and with external stakeholders while contributing in a collaborative, fast-paced environment.
  • Ability to travel approximately 10% to 20%, based on business needs.
  • Advanced programming skills, including mastery of a statistical programming language such as R or Python.
  • Experience with additional programming and data-manipulation languages, including SQL (Structured Query Language), 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 customers in the US financial services segment at TransUnion.
  • Develop predictive risk management and business intelligence solutions for Fintechs, credit card issuers, collections agencies, and retail banks.
  • 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, gradient boosted trees, survival analysis, principal component analysis, 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.
  • 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.
  • Provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
  • Foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Benefits

  • Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options.
  • Spousal, domestic partner, and other eligible dependent coverage is available on select plans.
  • Tax‑advantaged HSA and FSA accounts.
  • Company‑paid basic life and AD&D.
  • Optional voluntary life and AD&D for you and your family.
  • Short- and long‑term disability.
  • Legal plan.
  • Pet insurance.
  • Travel accident coverage.
  • Adoption assistance.
  • Fertility planning coverage.
  • Caregiver support.
  • Dependent Care FSA for possibility of an employer match.
  • Complimentary Care@Work membership.
  • Up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
  • 401(k) with employer match.
  • Employee Stock Purchase Plan (ESPP).
  • Financial wellness resources.
  • 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.
  • Paid volunteer time off.
  • Corporate volunteer events.
  • 24/7 support including professional therapy, coaching, and emotional well‑being programs.
  • Guided meditation and resources that support physical, mental, social, and financial wellness.
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