Senior Analyst

Affirm

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$145,000–$205,000 / yr
Posted
53 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $146k
This role $175k
$100k most similar roles pay here $216k

This role pays more than 79% of similar roles. Most pay $122,275–$170,000 — 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 60 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 60 roles with salary data.

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · Senior Analyst

Senior Analyst The Senior Analyst joins the Risk & Analytics team to manage the full analytical lifecycle, transforming complex data into actionable business signals across the customer and merchant journey. This role involves developing risk, fraud, and growth strategies while building scalable data foundations and performance metrics in collaboration with Engineering and Machine Learning teams. You will monitor macroeconomic trends, interpret regulatory requirements for product design, and build AI-assisted workflows to improve team efficiency. The ideal candidate possesses a degree in a quantitative field like Data Science or Economics and demonstrates proficiency in SQL, Python, and other scripting languages. Key competencies include data mining, statistical modeling, and machine learning applications. You will solve critical problems regarding fraud mitigation, conversion optimization, and international expansion within the consumer lending and fintech space to ensure sustainable growth.

What you'll do

  • Derive insights from advanced data analytics to develop and optimize business, risk, and growth strategies.
  • Monitor portfolio performance and macroeconomic trends to proactively adjust operational strategies and mitigate risk.
  • Partner with Engineering and Machine Learning teams to build and interpret metrics for scalable risk and fraud models.
  • Translate complex regulatory and economic requirements into actionable analytical policies and product design recommendations.
  • Develop and execute analytical frameworks to ensure new product launches align with risk appetite and local regulations.
  • Engage with external merchants, vendors, and partners to align practices and strengthen strategic relationships.
  • Build repeatable AI-assisted workflows to improve team efficiency and mentor junior analysts on technical skills.

What we're looking for

  • Hold a degree in Data Science, Computer Science, Engineering, Economics, or another related quantitative field.
  • Possess 2–5 years of experience in an analytically driven role within the consumer lending, credit, or fintech industry.
  • Demonstrate advanced proficiency in SQL, Python, or other scripting languages.
  • Exhibit deep expertise in data mining, data visualization, and statistical modeling.
  • Apply machine learning techniques to solve business or risk management problems.
  • Lead cross-functional initiatives involving Product, Legal, Compliance, and Engineering teams.
  • Maintain a strong understanding of consumer lending regulations and regional market dynamics.
  • Communicate effectively to influence senior stakeholders across both technical and non-technical functions.

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