Remote-First Early Career Risk & Analytics Analyst

Affirm, Inc.; New York, San Francisco (NY, CA); Hybrid; USD 104.000 - 127.000; Vollzeit

Benefits dieser Stelle

Health coverage

Equity rewards

ESPP

Zusammenfassung

Affirm, Inc. is hiring an Early Career Analyst to join its Risk & Analytics team in a hybrid role, with in-person work 3 days a week at New York City or San Francisco offices and flexible remote options.

You will learn consumer lending fundamentals while delivering scoped analytical work under senior guidance. You’ll leverage SQL and Python to optimize strategies, monitor performance, and turn complex data into actionable insights, collaborating across product, legal, and compliance to support

Qualifikationen

• Pursuing a Bachelor’s degree or higher; internships in fintech or financial services valued.
• Strong fundamentals in data science, statistics, and programming.
• Familiarity with data mining, visualization, and foundational modeling.

Aufgaben

• Derive insights to optimize risk, product, or growth strategies across geographies.
• Monitor portfolio health, track metrics, and flag anomalies for senior staff.
• Write clean SQL and Python to build scalable reporting; support ML/risk model deployment.
• Collaborate with Product, Legal, and Compliance to interpret regulations into data models.
• Support cross-functional discussions to align launches with capabilities and risk appetite.
• Integrate AI tools to accelerate data mining and routine tasks while verifying outputs.

Kenntnisse

SQL

Python

Data analysis

Communication

Ausbildung

Bachelor's degree or higher in Data Science, CS, Economics, or related field

Jobbeschreibung

Affirm, Inc. is hiring an Early Career Analyst to join its Risk & Analytics team in a hybrid role, with in-person work 3 days a week at New York City or San Francisco offices and flexible remote options.

You will learn consumer lending fundamentals while delivering scoped analytical work under senior guidance. You’ll leverage SQL and Python to optimize strategies, monitor performance, and turn complex data into actionable insights, collaborating across product, legal, and compliance to support