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Quantitative Analyst I, Capital

Affirm

United States

Remote

USD 102,000 - 155,000

Full time

16 days ago

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Job summary

An innovative company is seeking a driven individual to join its Quantitative Markets team. This role involves developing automation tools and optimizing business processes to enhance the pricing and modeling of consumer debt financing deals. The ideal candidate will possess strong data manipulation skills and experience in quantitative finance or data analytics. Collaborating with various teams, you will help inform funding strategies and improve overall efficiency. This position offers a competitive salary and a remote-first work environment, ensuring flexibility and work-life balance.

Benefits

100% subsidized medical coverage
Generous stipends for Technology and Lifestyle needs
Competitive vacation and holiday schedules
Employee stock purchase plan

Qualifications

  • 1-3 years of relevant experience in technical areas.
  • Strong data-manipulation and model development skills.

Responsibilities

  • Develop automation tools and optimize business processes.
  • Build data-driven models to analyze consumer loans.

Skills

Data Science
Data Analytics
Quantitative Finance
Python
R
Machine Learning
Interpersonal Skills
Communication Skills

Education

Bachelor's Degree in a relevant 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 Quantitative Markets 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 prior experience in process automation and optimization as well as development and implementation of quantitative and/or machine learning models. Given the cross-functional nature of the role, the ideal candidate should have strong interpersonal and communication skills.

What You’ll Do

Develop automation tools and optimize existing business processes to enable more efficient pricing and modeling of consumer debt financing deals as well as improve overall efficiency of the team

Advance Affirm’s asset-liability management model to help inform optimal funding strategies

Build data-driven models to analyze and predict the performance of Affirm’s consumer loans

Partner cross-functionally with our Capital Markets, Treasury, Risk, Commercial, Product and Engineering teams to evaluate funding, product, and business decisions

What We Look For

1-3 years of relevant experience in technical areas (e.g. data science, data analytics, quantitative finance)

Strong data-manipulation and model development and implementation skills using tools such as Python/R

Experience building quantitative models or implementing machine learning models is a plus

Strong interpersonal and communication skills, and ability to collaborate and influence across different teams in the organization

Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment

Desire to understand the broader context of business decisions

Base Pay Grade - I
Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $115,000 - $155,000
USA base pay range (all other U.S. states) per year: $102,000 - $142,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

  • 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

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.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm'sGlobal Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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Demographic Questions & Categorizations
Affirm is dedicated to building a diverse team and an inclusive culture. We believe that it’s crucial to Affirm’s long-term success to create an environment where all Affirmers feel like they belong and have an equal opportunity to succeed.
For this reason, we are asking candidates to voluntarily self-identify through a few demographic questions. Our purpose in collecting this information is to help us assess our outreach efforts and diversity representation goals. Your responses will not be linked to your identity or your application, and neither recruiters nor hiring managers can see this information at an individual level. Your responses are stored in the aggregate and will not play any role in our hiring decision. Your decision to participate or not participate in this survey will have no impact on your candidacy at Affirm.
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