AI-Driven Risk Scientist for Fintech Analytics

Giggle Finance; Miami (FL); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Giggle Finance is a fintech company focused on making capital accessible to gig workers, self-employed, and small businesses. The Risk team drives underwriting, fraud prevention, and portfolio strategy using data-driven decisions.

You will join a team that uses AI, SQL, Python or R, and Snowflake to build models, run experiments, and deliver insights that move into production quickly. We value curiosity and rapid learning in a fast-paced environment.

Qualifications

• Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Psychology, Sociology, or another quantitative discipline.
• Master’s degree is a plus.
• We DON’T care about formal fintech experience; curiosity and analytical ability matter more.

Responsibilities

• Partner directly with the Chief Risk Officer to solve high-impact analytical problems.
• Build predictive models that improve underwriting, fraud detection, pricing, acquisition, and portfolio performance.
• Use AI daily to accelerate research, automate analysis, and improve development speed.
• Design experiments, A/B tests, and statistical analyses to guide decisions.
• Write production-quality SQL and develop analytical solutions in Python and/or R, plus Snowflake.
• Transform large datasets into actionable business intelligence and visualizations or models.
• Build dashboards and executive reports used across the company.
• Collaborate with Engineering, Product, Finance, Operations, and Marketing to production systems.

Skills

Advanced SQL

Python

R

Statistical modeling

Machine learning

Data visualization

AI-assisted analytics

Education

Bachelor's degree in Statistics/CS/Math/Engineering

Master's degree (plus)

Tools

Snowflake

Job description

Giggle Finance is a fintech company focused on making capital accessible to gig workers, self-employed, and small businesses. The Risk team drives underwriting, fraud prevention, and portfolio strategy using data-driven decisions.

You will join a team that uses AI, SQL, Python or R, and Snowflake to build models, run experiments, and deliver insights that move into production quickly. We value curiosity and rapid learning in a fast-paced environment.