You will design, build, and maintain scalable data pipelines and foundational data models using Snowflake, dbt, and AWS. Additionally, you will lead technical decisions, establish data governance standards, and partner with cross-functional teams to ensure reliable data delivery.
The Account Manager will drive growth and strategy for a portfolio of corporate enterprise merchants by launching new programs and managing strategic relationships. They will lead quarterly business reviews, collaborate with cross-functional teams, and translate high-level goals into actionable plans.
The Senior Manager will lead the Finance Analytics function, owning financial forecasting, driver-based modeling, and performance management. They will act as a strategic partner to leadership, providing analytical insights to drive business decisions and resource planning.
The Senior Data Scientist will own and identify innovative strategies for revenue optimization and risk mitigation across the revenue waterfall. They will also influence the product roadmap by testing optimization ideas and collaborating with engineering teams to implement data-driven features.
Lead the regulatory compliance strategy and roadmap for licensing, service contracts, insurance programs, and regulatory relationships, while advising executives and representing the company in examinations and audits. Develop the compliance team and controls, partner across functions to embed compliance in business processes, and improve licensing and reporting through KPIs, process improvements, and technology.
Analyze large-scale behavioral and transactional data to identify fraud patterns and develop effective mitigation solutions. Collaborate with cross-functional teams, including Machine Learning and Fraud Ops, to improve automated decisioning systems and model features.
You will build and ship end-to-end features for fulfillment and servicing, including refunds and reverse logistics. You will also collaborate with cross-functional teams to deliver scalable, AI-native applications while maintaining high standards for system design and quality.
You will build and mature a merchant integration platform by designing transformation systems and anti-corruption layers to ensure consistent data flow. Additionally, you will own the reliability of the platform, mentor team members, and expand the event-driven architecture to support enterprise-scale integrations.
You will build and maintain financial models, invoicing logic, and automated reconciliation systems to ensure data accuracy across the platform. Additionally, you will partner with engineering teams to resolve data issues and support internal and external audits.
Lead a team to analyze large-scale data to identify fraud patterns and develop monitoring frameworks to mitigate emerging threats. Partner with cross-functional teams to optimize AI agent performance and translate findings into actionable model feature recommendations.
You will own the end-to-end machine learning lifecycle, including model development, experimentation, and production deployment to detect fraud. You will also collaborate with cross-functional teams to translate complex fraud patterns into scalable, production-grade ML solutions.
Lead and mentor a team of engineers to build scalable event-driven systems for claim servicing and fulfillment. Partner with product and operations leaders to define roadmaps and drive the adoption of AI-native development lifecycles.
