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Consultant, Data Science, Analytics
TransUnion. Lead credit risk analytics and modeling engagements from solution design through implementation and monitoring .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in credit risk analytics and modeling, including scorecard development and predictive modeling, while effectively managing stakeholder relationships and delivering high-quality insights. Proficient in leveraging analytical tools and statistical techniques to drive data-driven decision-making in lending products.
Highest-signal resume keywords
Credit Risk ModelingScorecard DevelopmentPredictive ModelingPortfolio AnalyticsPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AnalyticsModelingStatistical TechniquesData-Driven RecommendationsModel MonitoringValidationSegmentation StudiesRisk Strategy AnalyticsProcess AutomationLending Products
Soft Skills
CommunicationProblem-SolvingProject Management
Tools & Technologies
PythonRSQLAnalytical ToolsReporting Tools
Industry Keywords
Credit RiskStakeholder AlignmentConsulting EnvironmentBusiness ChallengesActionable Insights
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead credit risk analytics and modeling engagements from solution design through implementation and monitoring
- Partner with clients and stakeholders to understand business challenges and develop data-driven recommendations
- Develop, validate, and monitor credit risk scorecards and predictive models
- Perform portfolio analytics, segmentation studies, and strategy assessments
- Manage multiple workstreams and ensure high-quality delivery and stakeholder alignment
- Contribute to proposal development, solution design, knowledge-sharing, analytics capability development, and process automation initiatives
Requirements
What you’ll need- Bachelor’s or master’s degree in STEM discipline
- 6+ years of analytics and modeling experience
- Experience in credit risk modeling, scorecard development, model monitoring, validation, portfolio analytics, or risk strategy analytics
- Strong understanding of lending products including credit cards, personal loans, auto loans, mortgages, or SME lending
- Experience working in a consulting environment and dealing directly with clients or business stakeholders
- Proficiency in Python, R, SQL, or similar analytical tools
- Experience in predictive modeling, scorecard development, and portfolio analytics
- Ability to work with large datasets and apply statistical techniques
- Experience using analytical and reporting tools to generate actionable insights
- Strong communication, problem-solving, and project management skills
Benefits
Comp & perks- Work/life flexibility
- Professional development and career growth support
- Resources for teams across the globe to collaborate
- Access to support for professional development
- Opportunity to work with pioneering products and cutting-edge technology