Consultant, Data Science & Analytics- Credit Risk
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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end credit risk analytics and modeling projects including solution design, implementation, and ongoing monitoring.
Partner with clients and stakeholders to translate business challenges into data-driven credit risk and portfolio strategies.
Manage multiple project workstreams ensuring delivery quality, stakeholder alignment, and contribute to proposal and solution development.
Minimum Requirements
Bachelor’s or master’s degree in STEM discipline.
5+ years of experience in credit risk analytics, including scorecard development, model monitoring, or portfolio analytics.
Proficiency in Python, R, SQL, or similar analytical tools with credit risk domain expertise.
Hybrid work model requiring minimum two days per week in assigned TransUnion office location.
Ideal Candidate Profile
Experienced in credit risk modeling and consulting within banking, financial services, fintech, or lending environments.
Able to manage multiple client engagements with strong communication and project management skills.
Capable of working with large datasets using predictive modeling and statistical techniques to deliver actionable business insights.