Remote Data Jobs · Analytics

Job listings

  • Lead the team’s fraud monitoring and detection efforts, owning fraud escalations as Affirm scales internationally. Work with cross-functional partners to develop fraud detection and decisioning systems. The successful candidate will:
  • Develop strategies for monitoring and preventing fraud.
  • Leverage data analytics to optimize fraud management strategies.
  • Report on fraud trends and loss drivers.
  • Assist with the development of new features to improve fraud detection capabilities.

  • Lead the team’s fraud monitoring and detection efforts, owning fraud escalations as Affirm scales internationally. Work with cross-functional partners to develop fraud detection and decisioning systems. The successful candidate will:
  • Develop strategies for monitoring and preventing fraud.
  • Leverage data analytics to optimize fraud management strategies.
  • Report on fraud trends and loss drivers.
  • Assist with the development of new features to improve fraud detection capabilities.

As an Analytics Engineer, you will develop and maintain in-house and 3rd party platforms for analytics, tag management, privacy consent management, test automation, and marketing technology tools. You will support data collection, orchestration, and validation, modernizing existing implementations and generating documentation for partner teams.

Architect the core data infrastructure that supports every part of the business—from clinical operations to member experience to AI-powered insights. Build data pipelines, warehouse/lakehouse environment, workflow orchestration, and foundational data models. As the organization’s first dedicated data engineering hire, operate with a high degree of autonomy, influence technical direction, and enable advanced downstream use cases including analytics, BI, and machine learning.

In this strategic role, you will lead high-impact initiatives at the intersection of data, analytics, and artificial intelligence. You will work across global teams to modernize data capabilities, drive AI adoption, and accelerate digital transformation across multiple business functions. Acting as a bridge between business needs, analytics potential, and emerging technologies, you will shape use cases that deliver measurable business value.

US 4w PTO

As a Product Analyst, you’ll work inside one of our product teams (eCommerce, Portal, or Marketing), helping them understand user behavior, define and track key metrics, and validate the impact of product changes. You’ll partner with product managers, engineers, and designers to frame decisions, run analyses, and design experiments, shaping product roadmaps and improve user experience across thousands of retailers.

The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives.