Analyst II, Full Stack

🕒 July 21

🏄 California, Connecticut, +3 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $128k - $205k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Affirm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

📋 Description

• Leverage advanced data analytics to independently derive insights, develop, and optimize business, risk, or growth strategies across products and geographies. • Monitor portfolio performance and exogenous macroeconomic trends; proactively adjust analytical and operational strategies to mitigate risk and balance growth. • Partner deeply with Engineering and ML teams to design, build, and interpret performance metrics for scalable risk, fraud, or growth models. • Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements, translating them directly into analytical policy and product design recommendations. • Oversee the development and execution of analytical frameworks. Drive cross-functional discussions to ensure new product launches and market entries align with risk appetite, operational capabilities, and local regulations. • Engage with external stakeholders including merchants, vendors, and partners to align practices, ensure compliance, and strengthen strategic relationships. • Build repeatable AI-assisted workflows that compound across the team's analyses, while mentoring junior analysts on technical craft and domain nuances.

🎯 Requirements

• 2–5 years of proven experience in an analytically-driven role within the consumer lending, credit, or fintech industry, specifically leveraging advanced analytics to develop and optimize business strategies. • Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field. • Advanced proficiency in SQL, Python, or other scripting languages. • Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems. • Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align analytical strategies with business objectives. • Strong understanding of consumer lending regulations, regional market dynamics, and the broader economic landscape influencing policy and growth. • Demonstrated ability to translate complex regulatory and economic insights into actionable strategies. • Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions.

🏖️ Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount