Financial & Credit Analytics Analyst

Gynger

Financial & Credit Analytics Analyst building data models for a fintech company in New York City. Analyzing data and supporting credit decision-making and portfolio performance.

Posted 6/1/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $150,000 - $200,000 per yearWebsite

ATS Keywords

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Hard Skills

SQLExcelPythonfinancial conceptscredit riskcash flowGAAP accountingdata analysismodelingautomation

Soft Skills

attention to detailbuilder's mindsetcuriosityentrepreneurial spiritcomfort with ambiguity

Tools & Technologies

LookerTableauMetabasedata environmentsdashboards

Industry Keywords

creditlendingfintechinvestment bankingunderwritingservicingportfolio managementKPI monitoringcompliancerisk segmentation

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Build and maintain analyses and models that support underwriting, credit approvals and re-approvals, risk segmentation, and portfolio monitoring.
Own the queries, datasets, and dashboards that power credit and finance reporting, ensuring data is accurate, timely, and trusted across the company.
Monitor key credit, lending, and business KPIs and surface insights for Executives, Sales, and the Credit team.
Support reporting and compliance for our credit facilities, prepare materials for investor data rooms, and respond to diligence requests with clean, well-structured analyses.
Partner with operations and engineering on the data and logic behind loan modifications, collections, billing, and other servicing workflows.
Identify gaps in tooling, data, and controls and help close them through better models, dashboards, automation, or policy.

Requirements

What you’ll need

2 - 5 years of experience in a quantitative, analytical, or finance role ideally in credit, lending, fintech, or investment banking.
Direct experience in the credit or lending space (origination, underwriting, servicing, or portfolio management).
Strong SQL skills and advanced Excel proficiency, working knowledge of Python (or similar) is a plus.
Solid grounding in financial and credit concepts - credit risk, cash flow, and basic GAAP accounting.
Experience with BI tools (Looker, Tableau, Metabase, etc.) and comfort working in modern data environments.
Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
Exceptional attention to detail and a builder's mindset - curious, entrepreneurial, and comfortable operating with ambiguity in a fast-moving startup.

Benefits

Comp & perks

Competitive salary
equity
flexible PTO
robust benefits (medical, dental, vision etc.)