Credit Research Analyst – Hybrid Charlotte Data & Analytics

Paycom - ATS; Charlotte (NC); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Sunlight Financial is seeking a Credit Research Analyst in Charlotte, NC on a hybrid schedule. You will own data platforms, build pipelines, and deliver reporting used by credit policy decisions and investors.

Candidates should have 1–5 years of hands-on analytics, strong SQL and Python, and experience with data pipelines. The role emphasizes clear written and verbal communication and collaboration with cross-functional teams.

Qualifications

• 1–5 years of hands-on analytical experience.
• Strong SQL, with experience querying and transforming real-world datasets.
• Hands-on Python across more than one context, such as data wrangling, automation, analysis, or API integration.
• Experience building or contributing to data pipelines or automated workflows.
• Strong written and verbal communication.

Responsibilities

• Owns the analytics platform, including performance and investor tape refreshes.
• Builds and maintains recurring credit/portfolio reporting used by lenders and investors.
• Designs, automates, and monitors Python data pipelines that move and transform credit and loan performance data.
• Performs credit research and ad hoc analysis for Credit, Finance, Underwriting, Capital Markets, and Product.
• Maintains data definitions, standards, and documentation as the portfolio grows.

Skills

Strong SQL

Python

Data pipelines

Communication

Fintech exposure

Dashboards/Reporting

Analytical databases

LLM APIs

Team in fast-moving env

API integration

Job description

Sunlight Financial is seeking a Credit Research Analyst in Charlotte, NC on a hybrid schedule. You will own data platforms, build pipelines, and deliver reporting used by credit policy decisions and investors.

Candidates should have 1–5 years of hands-on analytics, strong SQL and Python, and experience with data pipelines. The role emphasizes clear written and verbal communication and collaboration with cross-functional teams.