INACTIVE

Full-Time

Quantitative Analyst II

Posted on 2/14/2024

Affirm

1,001-5,000 employees

Buy now, pay later financial services

Data & Analytics

Financial Services

Consumer Goods

Compensation Overview

$105,300 - $157,900Annually

+ Health care coverage + Flexible spending wallets + Time off + Employee stock purchase plan

Mid

Remote

Required Skills

Python

Data Science

Git

Data Structures & Algorithms

Apache Spark

SQL

Data Analysis

Requirements

2-4 years of professional experience in a data science, modeling, or quantitative finance role
Extensive experience with SQL and Python, or other scripting languages. Experience with Spark is a plus
Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms
Strong curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills
Passionate to learn about Affirm’s business and desire to understand the business context
Ability to collaborate and influence across different teams in the organization
Github experience preferred. Existing github presence a plus

Responsibilities

Architect, build, refine and improve automation and research infrastructure for loan cashflow models on existing collateral and simulation frameworks for future loan originations
Collaborate with Machine Learning and Engineering teams to implement automated model monitoring
Deep dive into Affirm collateral performance to identify potential risks and opportunities and provide insights for different stakeholders
Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm
Review implementation of models focusing on requirement verification and code quality and conduct code review for different members of the team.

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 driven, analytically-minded professional to join the Quantitative Research team! The Quantitative Research team builds foundational models that model the user behavior at various stages in its journey within the Affirm’s ecosystem and prepare frameworks using those models to guide strategy in optimizing portfolio economics and consumer growth.

In this role, you will be primarily focused on improving and expanding existing loan cashflow models for various different Affirm products, and support model use cases. This role also requires proactively engaging with other stakeholders around Affirm to tailor models to the needs of Credit, Merchant Pricing, Finance, Growth Analytics and other stakeholders.

The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools, interpersonal skills to work cross-functionally and drive forward recommendations, and strong eagerness to identify new opportunities for modeling, optimization and improvement.

What You’ll Do

Architect, build, refine and improve automation and research infrastructure for loan cashflow models on existing collateral and simulation frameworks for future loan originations
Collaborate with Machine Learning and Engineering teams to implement automated model monitoring
Deep dive into Affirm collateral performance to identify potential risks and opportunities and provide insights for different stakeholders
Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm
Review implementation of models focusing on requirement verification and code quality and conduct code review for different members of the team.=

What We Look For

2-4 years of professional experience in a data science, modeling, or quantitative finance role
Extensive experience with SQL and Python, or other scripting languages. Experience with Spark is a plus
Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms
Strong curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills
Passionate to learn about Affirm’s business and desire to understand the business context
Ability to collaborate and influence across different teams in the organization
Github experience preferred. Existing github presence a plus

Pay Grade - CAN29
Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.
CAN base pay range per year:
Min: $105,300
Mid: $131,600
Max: $157,900

#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 the Affirm Employment Privacy Policy for applicants within the United States, the EU Employee Notice Regarding Use of Personal Data (Poland) for applicants applying from Poland, the EU Employee Notice Regarding Use of Personal Data (Spain) for applicants applying from Spain, or the Affirm U.K. Limited Employee Notice Regarding Use of Personal Data for applicants applying from the United Kingdom, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

View

Website

View Company Profile

Affirm offers a buy now, pay later service that allows consumers to make purchases and pay over time with transparent financial products. The main technologies used include JavaScript for the app, with a focus on improving consumer lives through transparent financial products.

Company Stage

IPO

Total Funding

$2.9B

Headquarters

San Francisco, California

Founded

2012

Growth & Insights

Headcount

6 month growth

↑ 1%

1 year growth

↓ -2%

2 year growth

↓ -2%

Benefits

Spending wallets: Access tech, food, lifestyle, and family planning wallets for your expenses

Supportive communities: Get involved with our employee resource groups and community groups

Remote-first workforce: If your role is remote, you can set up shop anywhere in your home country

Generous time off: Take the time you need when life happens

Health benefits: Get a plan that fits your needs

Mental healthcare: Take care of your mind with great mental health programs

Parental leave: Birth and non-birth parents get 18 weeks paid leave. Plus, a 4-week return-to-work transition program, at full base pay.

Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family.

Away days: We offer 24 company-wide paid days off—which help our teams collectively pause to recharge.

Learning & development: Engage in exciting learning programs to level up your growth.

INACTIVE