Senior Data Scientist, Financial Services Analytics

TransUnion LLC

Chicago (IL)

Hybrid

USD 68,000 - 113,000

Full time

5 days ago
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Job summary

TransUnion is seeking a Data Scientist in the Financial Services Consulting team. The role reports to a Senior Manager of Data Science & Analytics and blends analytic work with client-facing engagements in a hybrid setting.

Responsibilities include building predictive risk models and BI solutions for Fintechs, banks, and lenders, and mentoring junior colleagues while collaborating across teams.

Qualifications

  • Master's or PhD in statistics, applied mathematics, financial mathematics, engineering, OR operations research or another quantitative field.
  • At least 1 year of analytical experience in Financial Services or related industry.
  • Strong analytical and creative problem-solving skills with data-informed solutions.
  • Versatile interpersonal and communication skills for cross-functional collaboration.
  • Ability to travel 10%-20% based on business needs.

Responsibilities

  • Partner with cross-functional teams to drive new business initiatives and deliver value-added product propositions in US financial services.
  • Lead analytical client engagements using descriptive, predictive, and prescriptive analyses across the consumer lending lifecycle.
  • Design and write programs for data extraction, segmentation and analysis using R, Python, and SQL.
  • Deliver analytic insights and recommendations to internal and external stakeholders and executives.
  • Develop proposals, sales presentations, and promotional collateral for integrated customer solutions.

Skills

R/Python programming
SQL & Hive
C/C++
Java

Education

Master's or PhD in a highly quantitative field

Tools

Hive
C/C++
Java

Job description

TransUnion is seeking a Data Scientist in the Financial Services Consulting team. The role reports to a Senior Manager of Data Science & Analytics and blends analytic work with client-facing engagements in a hybrid setting.

Responsibilities include building predictive risk models and BI solutions for Fintechs, banks, and lenders, and mentoring junior colleagues while collaborating across teams.

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