Analyst II, Full Stack (Credit Analytics)

Affirm

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$145,000–$205,000 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $146k
This role $175k
$102k most similar roles pay here $216k

This role pays more than 73% of similar roles. Most pay $113,750–$177,900 — the shaded band above. At the midpoint, this role pays about $175k versus about $146k for comparable roles.

Based on 240 similar postings.

Employer

About Affirm

Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending

Affirm currently has 57 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 57 roles with salary data.

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · Analyst II, Full Stack (Credit Analytics)

Join the Credit team as a Full Stack Analyst II, working in a senior role within an innovative company that designs and runs experiments to inform product development and marketing strategies. You will leverage advanced data analytics to optimize credit strategies, collaborate with Engineering to build scalable risk models, and monitor portfolio performance to adjust underwriting and marketing strategies proactively. Key responsibilities include interpreting regulatory requirements, engaging external stakeholders, and overseeing the development of frameworks that balance growth and compliance. Ideal candidates have a degree in Data Science or related fields, 2+ years of experience, proficiency in SQL and Python, and expertise in credit risk management and data analytics. This role demands deep understanding of consumer lending regulations and exceptional communication skills to influence senior stakeholders across functions.

What you'll do

  • Leverage advanced data analytics to optimize credit strategies across products and geographies.
  • Design and build scalable risk models in collaboration with Engineering teams.
  • Monitor portfolio performance and adjust underwriting strategies based on macroeconomic trends.
  • Interpret regulatory requirements and translate them into actionable credit policies and product recommendations.
  • Engage external stakeholders to ensure compliance and strengthen strategic partnerships.
  • Oversee the development of frameworks that balance growth, compliance, and risk mitigation goals.

What we're looking for

  • 2+ years of experience in data science, computer science, engineering, economics or related field
  • Proficiency in SQL, Python, and other scripting languages for data analysis
  • Experience applying machine learning to credit risk management
  • Deep understanding of consumer lending regulations and fair lending principles
  • Ability to translate complex regulatory insights into actionable credit strategies
  • Proven experience leading cross-functional initiatives involving Product, Legal, Compliance, and Engineering
  • Exceptional communication skills to influence senior stakeholders across technical and non-technical functions

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