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Analytics Manager, Full Stack (Credit Risk)

Location
Remote US
Compensation
$191k–$265k/yr
Level
senior
Type
full time · Remote OK

Skills & Technologies

Requirements

Experience
7+ years

Benefits

Health Insurance Equity/Stock Options Time off Flexible Spending Wallets Employee Stock Purchase Plan

Joblaze summary

The Analytics Manager for Credit Risk at Affirm plays a pivotal role in shaping the company's credit strategies by collaborating with various teams to manage the end-to-end credit process for the Shopify portfolio. This position demands proficiency in SQL and Python, alongside a solid understanding of credit risk management and the lending industry. Ideal candidates will have over seven years of experience and a visionary mindset to drive innovative solutions in a fast-paced environment. Affirm's commitment to sustainable growth and cross-functional collaboration underscores the importance of this role in navigating the evolving landscape of consumer finance.

Joblaze insights

Quick facts

Is the Analytics Manager, Full Stack (Credit Risk) role remote?
Yes — Affirm lists this as a fully remote position.
What's the salary range?
Affirm lists $191,000–$265,000 for this role.
How much experience is required?
At least 7 years of relevant experience for this Analytics Manager, Full Stack (Credit Risk) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: SQL, Python.
What seniority level is this role?
Affirm targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Analytics Manager, Full Stack (Credit Risk) role at Affirm.

From the original posting

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
  • Risk Knowledge - Working knowledge of the fundamentals of the lending industry and credit risk management
  • Technical Skills - Fluent in SQL and Python
  • Multi-tasking - 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
  • Communication - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences

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: $220,000-280,000
USA base pay range (all other U.S. states) per year: $195,000 - 255,000

#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'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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