Quantitative Analyst I, Capital

Affirm; Detroit (MI); Remote; USD 102,000 - 142,000; Full time

Job summary

An innovative company is seeking a driven individual to join its Quantitative Markets team. This role focuses on structuring and pricing debt funding deals, developing automation tools, and building data-driven models for consumer loans. Ideal candidates will have experience in data science, proficiency in Python or R, and strong communication skills for cross-functional collaboration. With a remote-first approach, this organization offers flexibility and a commitment to inclusivity, making it an exciting opportunity for those looking to thrive in a dynamic environment.

Benefits

Health coverage for employees and dependents

Flexible Spending Wallets

Generous vacation and holiday policies

Employee Stock Purchase Plan (ESPP)

Qualifications

• 1-3 years of experience in data science or quantitative finance.
• Proficiency in data manipulation and model development.

Responsibilities

• Develop automation tools to improve pricing and modeling efficiency.
• Build data-driven models to analyze consumer loan performance.

Skills

Data Science

Data Analytics

Quantitative Finance

Python

R

Machine Learning

Interpersonal Skills

Creative Thinking

Critical Thinking

Education

Bachelor's Degree in Finance, Data Science, or related field

Tools

Python

R

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.

We’re looking for a smart, driven individual to join our Quantitative Markets team. The team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate will have experience in process automation, optimization, and developing and implementing quantitative or machine learning models. Strong interpersonal and communication skills are essential due to the cross-functional nature of the role.

What You’ll Do

1. Develop automation tools and optimize existing processes to improve the efficiency of pricing, modeling of consumer debt financing deals, and overall team productivity.
2. Enhance Affirm’s asset-liability management model to inform optimal funding strategies.
3. Build data-driven models to analyze and predict consumer loan performance.
4. Collaborate with teams across Capital Markets, Treasury, Risk, Commercial, Product, and Engineering to evaluate funding, product, and business decisions.

What We Look For

• 1-3 years of relevant experience in data science, data analytics, or quantitative finance.
• Proficiency in data manipulation and model development using tools such as Python or R.
• Experience with building quantitative models or implementing machine learning models is a plus.
• Excellent interpersonal and communication skills, with the ability to collaborate and influence across teams.
• Creative and critical thinking skills, with the ability to thrive in a fast-paced and ambiguous environment.
• A desire to understand the broader business context behind decisions.

Compensation & Benefits

Base Pay Grade: I

Equity Grade: 5

Employees typically start at the beginning of the pay range, which varies based on location, experience, and skills.

Base pay is part of a total compensation package including equity, stipends for health and tech expenses, and benefits such as medical, dental, and vision coverage for you and dependents.

US salary ranges:

• CA, WA, NY, NJ, CT: $115,000 - $155,000
• Other states: $102,000 - $142,000

Affirm is a remote-first company, allowing most roles to be performed remotely within the U.S., with some roles requiring occasional office presence.

Benefits

• Health coverage with premiums paid by Affirm for you and dependents
• Flexible Spending Wallets for various expenses
• Generous vacation and holiday policies
• Employee Stock Purchase Plan (ESPP) at a discount

We are committed to an inclusive hiring process and provide accommodations for candidates with disabilities. Qualified applicants with arrest or conviction records will be considered, in accordance with local ordinances.

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