Data Analytics Consultant
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Job Description
Data Analytics Consultant helping MeridianLink’s financial-institution clients optimize consumer lending decisions. Analyzing credit, underwriting, and portfolio data to improve risk management and sustainable growth.
Responsibilities:
- Develop a strong understanding of MeridianLink decisioning platforms, including MeridianLink Consumer and DecisionLender, and application flows through underwriting and approval
- Analyze credit bureau, application, and loan performance data to evaluate portfolio risk, approval trends, and delinquency patterns
- Review underwriting guidelines, scorecards, and decision rules to identify optimization opportunities
- Interpret consumer credit reports, including tradelines, inquiries, utilization, and public records
- Evaluate approval rate, decline rate, capture rate, delinquency, charge-offs, and loss rates
- Support clients with data-backed policy and strategy recommendations balancing risk management and growth
- Prepare client-facing reports and dashboards communicating portfolio performance and risk trends
- Lead and participate in client meetings to present findings and discuss credit risk drivers and optimization strategies
- Collaborate with internal analytics, engineering, and product teams to deliver analytics solutions
- Ensure accuracy and consistency across analytical deliverables
- Contribute to best practices, documentation, and training related to credit risk and lending analytics
- Assist in developing scalable tools and templates for portfolio monitoring and underwriting analysis
- Serve as a trusted advisor on credit risk management and consumer lending best practices
Requirements:
- Bachelor’s degree in Finance, Economics, Business, Statistics, Mathematics, Data Analytics, or related field preferred
- 3–6 years of experience in credit risk analysis, underwriting, lending analytics, or financial services consulting preferred
- Experience with consumer credit data, bureau reports (Experian, Equifax, TransUnion), or loan performance data strongly preferred
- Solid understanding of consumer lending fundamentals, including underwriting, risk tiers, scorecards, and policy rules
- Experience analyzing loan performance, delinquency, and loss trends
- Strong analytical and problem-solving skills with ability to translate data into business recommendations
- Demonstrated expertise in SQL required
- Proficiency in Microsoft Excel and PowerPoint
- Advanced competency in business intelligence tools such as Power BI, Sisense, or similar preferred
- Strong project management and organizational skills, with ability to manage multiple client engagements
- Excellent written and verbal communication skills, with ability to explain credit risk concepts to technical and non-technical audiences
- High attention to detail and commitment to data quality and accuracy
- Must be legally authorized to work in the United States; employment offer subject to background, credit, and drug checks
Benefits:
- Insurance coverage (medical, dental, vision, life, and disability)
- Flexible paid time off
- Paid holidays
- 401(k) plan with company match
- Remote work
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