Analyst II

Affirm; Remote; CAD 148,000 - 218,000; Full time

Job summary

A leading financial technology company is seeking a driven individual to leverage data analytics in optimizing credit underwriting. This role involves extensive cross-functional collaboration, particularly with machine learning and engineering teams. The ideal candidate has a background in data analysis with experience in SQL and Python, and a passion for finding insights in data. The position offers a competitive salary range of $109,000 - $159,000 and the opportunity to work remotely within Canada.

Benefits

100% subsidized medical coverage

Flexible Spending Wallets

Competitive vacation and holiday schedules

Employee stock purchase plan

Qualifications

• 2+ years of work experience as a data analyst or data scientist, preferably in consumer credit risk management.
• Ability to communicate findings clearly to both technical and non-technical audiences.
• Passion for finding insights in data and driving changes based on those insights.

Responsibilities

• Leverage experimentation and advanced analytics to optimize credit underwriting.
• Support the launch of new products by designing credit strategies.
• Partner with Engineering to build effective credit risk capabilities.

Skills

Data analytics

SQL

Python

Collaboration

Machine Learning

Education

Bachelor’s degree in a related field

Tools

Spark

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.

The Credit team works cross-functionally with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to responsibly manage the risk profile of the business. We’re looking for a thoughtful, 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, thinking through credit strategies for new initiatives and products, shaping ongoing testing and experimentation, and being ready for navigating through any exogenous changes will be important problems to tackle.

This role requires extensive use of data analytics to derive insights and develop credit strategies. It also requires a lot of cross‑functional partnership. Working with the Machine Learning and Engineering team to develop new underwriting models, with the Product teams to develop new products and features, with the Merchant Pricing team to value different merchants, with the Finance team to help facilitate discussions with debt and equity investors are some parts of the role.

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

• Leverage experimentation and advanced data analytics to derive insights. Dissect complex data and translate it into actionable strategies to help optimize credit underwriting.
• Determine and optimize purchasing power, ensuring they are set optimally to balance risk and growth, driving healthy user engagement.
• Play a pivotal role in underwriting cost saving, managing risk and improving the profitability.
• Support the launch of new products by designing and implementing credit strategies.
• Partner with Machine Learning and Engineering teams on building effective credit risk capabilities.

What We Look For

• 2+ years of work experience as a data analyst/data scientist (consumer credit risk management strongly preferred but not required).
• Curious and passionate to learn new things and think outside the box.
• Extensive experience with SQL and Python, or other scripting languages. Experience with Spark is a plus.
• Experience/knowledge with Machine Learning is a plus.
• Ability to collaborate and influence across different teams in the organization.
• Ability to communicate findings and recommendations clearly to both technical and non‑technical audiences.
• A passion for finding insights in data and driving changes based on those insights.
• Intelligence + Humility. Hubris is the fastest way to blow up a business!
• Grit. Lots of grit. You’ll wear 7 hats and not love all of them.
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Pay Grade - K

Equity Grade - 4

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).

CAN base pay range per year: $109,000 - $159,000

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 of their job responsibilities.

Benefits

• 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.

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