Senior Analyst, Data Science & Analytics
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and enhance predictive models, scorecards, and risk strategies to improve credit risk decision-making across customer lifecycle stages.
Collaborate with internal and external teams to deliver complex data science solutions and business intelligence for various industries served by TransUnion.
Communicate analytical findings through presentations and high-quality documentation to internal and external stakeholders, ensuring adherence to standards.
Minimum Requirements
Degree or higher in statistics, applied mathematics, financial mathematics, engineering, operations research, or a related quantitative field.
1-4 years of professional analytical experience in financial services, insurance, digital marketing, or related industries.
Strong programming skills in R or Python; experience with SQL, Linux, and Microsoft Office tools.
Hybrid work setup requiring minimum two days per week in the assigned TransUnion office.
Ideal Candidate Profile
Experience applying advanced data science techniques in credit risk or related analytical environments with a focus on predictive modeling and portfolio analysis.
Ability to work independently and manage multiple projects simultaneously with adherence to deadlines and high attention to detail.
Effective communicator capable of presenting complex data science insights clearly to diverse audiences and collaborating across cross-functional teams.