Quantitative Analytics Lead

Job Description

Affirm is seeking a Quantitative Analytics Lead to join their Quantitative Research team. This role focuses on developing analytical tools and improving the usability of take-up and loan cashflow models. The ideal candidate will possess strong analytical and problem-solving skills, along with excellent interpersonal skills for cross-functional collaboration.Responsibilities:

• Architect, build, refine, and automate research infrastructure for modeling collateral performance and simulating future loan originations.
• Collaborate with platform teams to implement frameworks for automating and presenting analytics, reports, and monitoring.
• Work with firm-wide analytics teams to deliver analyses and tools to users across the firm.
• Review model implementations, focusing on requirement verification and code quality, and conduct code reviews.

Requirements:

• Undergraduate, Masters, or PhD in Computer Science or a quantitative discipline.
• 4-7 years of professional experience developing quantitative infrastructure tools and platforms.
• Solid background in math, statistics, finance, and familiarity with quantitative research methodologies and machine learning algorithms.
• Ability to analyze business requirements and design appropriate technical solutions.
• Ability to contribute to the analytics, research, and model development process.
• Curiosity to learn about data, models, and algorithms, with a proven track record in analytical and problem-solving skills.
• Ability to develop strong relationships and work across all organizational levels.
• Desire to understand the broader context of business decisions.
• Github experience preferred.

Benefits/Offers:

• Health care coverage with premiums fully covered by Affirm for all levels of coverage for you and your dependents.
• Flexible Spending Wallets for Technology, Food, Lifestyle needs, and family forming expenses.
• Competitive vacation and holiday schedules.
• Employee stock purchase plan (ESPP).