KeyStep

Analyst II, Full Stack

Affirm
Remote US
about 2 hours ago
full-timeremote

Skills & Technologies

Full StackData EngineeringData AnalyticsMachine LearningStrategyForecastingCustomer ExperienceMake

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 Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing Affirm's online fraud decisioning strategy. The team works cross-functionally with Product, Engineering, Operations, and Finance teams to define and ensure accurate execution of the fraud strategy to effectively prevent fraud losses.

This role requires extensive use of data analytics to derive insights and develop/update fraud strategies, collaborating with cross-functional partners. Full stack analyst works with the Product teams to develop new fraud features, with the engineering team to launch online experiment to test out the performance of the new features, with the Operation team to execute risk and resolution strategies, with the Finance team to help facilitate discussions on portfolio performance and loss forecasting.

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

Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimise the existing strategies to achieve better conversion rate.

Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates

Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models

Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes.

Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across t

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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