Related skills
looker sql python tableau excelπ Description
- Credit analytics & modeling: Build and maintain analyses for underwriting, risk, and portfolio monitoring.
- Data & reporting infrastructure: Own queries, datasets, and dashboards powering credit/finance reports.
- KPI tracking: Monitor credit, lending, and business KPIs; surface insights for executives and teams.
- Debt facility & investor reporting: Support facility reporting; prep investor data rooms and diligence materials.
- Loan servicing analytics: Collaborate on data and logic for loan modifications, collections, and servicing workflows.
- Process improvement: Identify gaps and close them with better models, dashboards, automation, or policy.
π― Requirements
- 2-5 years of experience in quantitative/analytical/finance roles in credit, lending, fintech, or investment banking.
- Direct experience in credit or lending (origination, underwriting, servicing, or portfolio management).
- Strong SQL skills and advanced Excel; knowledge of Python a plus.
- Solid grounding in credit concepts: credit risk, cash flow, basic GAAP accounting.
- Experience with BI tools (Looker, Tableau, Metabase) and modern data environments.
- Bachelor's degree in Finance, Economics, Math, Statistics, CS, or related quantitative field.
π Benefits
- Opportunity to join one of the fastest growing Fintech Series A companies in NYC.
- Chance to revolutionize the B2B SaaS market.
- Tight-knit, collaborative team passionate about building startups.
- Competitive compensation, equity, flexible PTO, and robust medical/dental/vision benefits.
- Built-In Best Places to Work (2024-2026) - three years running.
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