Quantitative Analytics Manager

Affirm; Poland; Remote; PLN 150,000 - 200,000; Full time

Job summary

A leading financial technology firm is looking for a Quantitative Analytics Manager to optimize loan portfolio performance through AI-powered models and rigorous data analysis. Candidates should have over 6 years of analytical experience and be proficient in Python and SQL. This remote-first company champions inclusivity and offers competitive benefits.

Benefits

Competitive benefits

Inclusive interview experience

Diversity initiatives

Qualifications

• 6+ years of experience in an analytical or quantitative role.
• Practical knowledge of financial services and asset pricing.
• Ability to analyze large data sets using Python and SQL.

Responsibilities

• Develop machine learning models to analyze risk on the loan portfolio.
• Implement and track performance of pricing recommendations.
• Partner with various teams on company-wide initiatives.

Skills

Experience in an analytical or quantitative role

Knowledge of fixed income and financial modeling

Proficiency in Python and SQL

Familiarity with machine learning

Education

Masters Degree in a relevant field

Tools

GitHub

PySpark

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

At Affirm, we are using today's technology to bring significant innovation to the financial industry. Since day one, our mission has been to deliver honest financial products that improve lives. That mission hasn’t changed — and it never will.

We’re looking for an individual to join the Merchant Pricing team. This team is responsible for enabling efficient value exchange between Affirm’s merchants, consumers, and strategic partners. As a Quantitative Analytics Manager, you’ll help optimize our portfolio segments at scale and refine the analytical tooling to get us there. Your day-to-day focus will be to develop analytical capabilities to enhance our research infrastructure, and to apply your knowledge to improve Affirm’s loan economics. This is a high-impact role focused on making prudent decisions that drive profitable growth.

What You’ll Do

• Apply and develop AI-powered, machine learning models to simulate and analyze risk on Affirm’s loan portfolio
• Ideate, validate, implement, and track performance of pricing recommendations that were generated by discrete optimization methods
• Build expertise in our evolving data warehouse, risk models, and optimization methodologies
• Assist in launching user-level pricing experiments and monitor against model results
• Partner with our Credit, Product, Engineering, Applied Machine Learning, Commercial, Finance and Capital Markets teams on company-wide initiatives

What We Look For

• 6+ years of experience in an analytical or quantitative role
• Practical knowledge of fixed income, financial modeling, asset pricing, and consumer financial services
• Familiarity in applying Python and SQL to analyze large data sets
• PySpark experience is a plus
• Existing Github presence or portfolio of former projects
• Masters Degree in Computer Science, Mathematics, Data Science, Statistics, Finance, or Financial Engineering is a plus

Affirm is a remote-first company. We are proud to offer competitive benefits anchored to our core value of putting people first.

We believe it’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Affirm is dedicated to building a diverse team and inclusive culture. We invite candidates to voluntarily self-identify demographic information for diversity representation analysis. This information is stored separately and is not used in hiring decisions.

Affirm is an equal opportunity employer. Base pay ranges and equity offerings are determined by role, location, experience, and other factors.