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Data Scientist, Financial Services Consulting

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: TransUnion
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 68000 - 113000 USD Yearly USD 68000.00 113000.00 YEAR
Job Description & How to Apply Below
## Data Scientist, Financial Services Consulting Solicitar:
Chicago, Illinois:
Full time:
Publicado hace 2 días:
Trans Union's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices
** Descripción general del equipo
** 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 Trans Union 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.
** Resumen del rol y responsabilidades clave
*** 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 s 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 Trans Union.
* You will identify strategies and opportunities for customers to test and adopt Trans Union’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 Trans Union brand.
** Conocimientos y experiencia requeridos
*** 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, to support the advanced analytical work required in this role.
* At least one year of experience performing analytical work within Financial Services or a related industry, providing the industry context needed to address complex business challenges.
* 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.## Required Technical Skills
* Advanced programming skills, including mastery of a statistical programming language such as R or…
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