обновлено 7 дней назад
Data Analytics Consultant (Consumer Lending)
69 840 - 96 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Analytics Consultant (Consumer Lending): Analyzing credit bureau, application, and loan performance data to help financial institutions optimize underwriting, approval rates, risk management, and portfolio health with an accent on credit risk analysis, decision rules, and lending performance metrics. Focus on interpreting consumer credit reports, building client-facing dashboards and recommendations, and leading data-driven discussions with clients and internal analytics, engineering, and product teams.
Location: US Remote
Salary: $69,840–$96,000 annually
Company
provides decisioning platforms and analytics tools that help financial institutions improve underwriting, lending performance, and risk management.
What you will do
- Analyze credit bureau, application, and loan performance data to evaluate portfolio risk, approval trends, delinquency, charge-offs, and loss rates.
- Review underwriting guidelines, scorecards, and decision rules to identify optimization opportunities.
- Interpret consumer credit reports, including tradelines, inquiries, utilization, and public records.
- Develop client-facing reports and dashboards that communicate portfolio performance and risk trends.
- Lead client meetings, present findings, explain credit risk drivers, and recommend lending strategies.
- Collaborate with analytics, engineering, and product teams while contributing to scalable monitoring tools, documentation, and best practices.
Requirements
- Bachelor’s degree in Finance, Economics, Business, Statistics, Mathematics, Data Analytics, or a 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 such as Experian, Equifax, and TransUnion, or loan performance data strongly preferred.
- Strong understanding of consumer lending, underwriting, risk tiers, scorecards, policy rules, delinquency, and loss trends.
- SQL expertise is required; proficiency in Microsoft Excel and PowerPoint is expected.
- Strong communication, analytical, project management, organizational, and data-quality skills are required.
Nice to have
- Advanced competency in Power BI, Sisense, or similar business intelligence tools.
Culture & Benefits
- Remote work for the US-based role.
- Medical, dental, vision, life, and disability insurance coverage.
- Flexible paid time off and paid holidays.
- 401(k) plan with company match.
- Offers are subject to a background check, credit check, and drug test.
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