
Buy now, pay over time.
Analytics Manager, Credit Risk
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.
The Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently.
The Credit team works cross-functionally with Machine Learning, Fraud, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business. We’re looking for an intelligent, driven individual who wants to learn, grow, and solve hard problems.
The team’s mandate is to enable sustainable growth while closely managing the profitability and resilience of our portfolio. As Affirm continues on an exciting growth trajectory, designing credit strategies for new initiatives and products, partnering with the Machine Learning team to continuously enhance our underwriting framework, and being ready to navigate through any exogenous changes will be important problems to tackle.
This role requires a lot of cross-functional partnership, with extensive use of data analytics to derive insights and develop credit strategies. Come join us in our mission to change consumer finance through better data and technology, lower costs, and increased transparency while providing the best customer experience!
What you'll do
- Partner with cross-functional teams and be the Credit POC that manages the end-to-end credit strategy for the Shopify portfolio
- Leverage alternative data and further optimize our credit strategy in limit assignment and purchasing power
- Partner with Machine Learning team and enhance our underwriting framework for low AOV
- Support new product formation and new vertical exploration
What we look for
-
Experience - 7+ years work experience in the credit risk field
-
Vision
-
A visionary leader who can challenge the status-quo and identify opportunities, as well as develop the roadmap and strategy plan
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Risk Knowledge
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Working knowledge of the fundamentals of the lending industry and credit risk management
-
Technical Skills
-
Fluent in SQL and Python
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Multi-tasking
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Strong time management skills and the ability to manage multiple projects and priorities, and able to thrive in a fast-paced environment
-
Collaboration
-
Ability to collaborate and influence across different teams
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Communication
-
Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
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Pay Grade
-
O
Equity Grade - 12
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: $215,000-265,000
USA base pay range (all other U.S. states) per year: $191,000 - 241,000
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's Global 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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Affirm 소개

Affirm
PublicAffirm Holdings, Inc. is an American financial technology company and a point-of-sale lender. Founded in 2012 by PayPal co-founder Max Levchin, it is the largest U.S. based buy now, pay later (BNPL) financier.
1,001-5,000
직원 수
San Francisco
본사 위치
$2.7B
기업 가치
리뷰
10개 리뷰
4.0
10개 리뷰
워라밸
3.2
보상
3.8
문화
4.3
커리어
3.0
경영진
3.5
72%
지인 추천률
장점
Great colleagues and team collaboration
Flexible work arrangements and remote options
Good benefits and competitive compensation
단점
Work-life balance challenges and long hours
High pressure and fast-paced environment
Limited career advancement opportunities
연봉 정보
44개 데이터
Junior/L3
L2
L6
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Machine Learning Engineer
1개 리포트
$184,600
총 연봉
기본급
$142,000
주식
-
보너스
-
$184,600
$184,600
면접 후기
후기 3개
난이도
3.7
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 67%
부정 33%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Past Experience
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