Jobs at Mission Lane

Lead fraud analytics for application fraud detection: identify emerging patterns, design and test real-time defenses, balance risk and customer experience, build dashboards and metrics, and collaborate with Operations, Product, Data Science, and Engineering to reduce fraud losses and improve cardholder experience.

Lead marketing operations for direct marketing campaigns in a regulated environment. Own process design, governance, digital asset management, QA/audit controls, vendor and team management, operational reporting, and identify automation opportunities to improve cycle times and compliance while scaling from direct mail into digital channels.

Lead Mission Lane's AI operations strategy end-to-end: identify high-impact AI use cases for contact center operations, build business cases, evaluate vendors, sequence and drive cross-functional execution, establish governance, and measure outcomes in cost, quality, and customer experience.

Owner of fraud, collections, and back-office compliance for Mission Lane's credit card business. Serve as embedded compliance authority, manage escalations, run testing and monitoring of controls, identify gaps, provide regulatory guidance, partner with business and Legal, and support program strategy and exam readiness.

Lead Mission Lane's first-line operations risk function: build the team, define first- vs second-line accountability, partner with process owners to design controls, manage incident lifecycle, deliver executive risk reporting, and coordinate remediation with Legal, Risk, and Compliance.

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

The Principal Business Analyst will lead initiatives to optimize underwriting and acquisition strategies, leveraging data analysis and collaborating with cross-functional teams to improve profitability and credit risk.

Lead content strategy and infrastructure to drive SEO, AI-search, and owned-channel performance. Build multisource content models, governance, PR/citation strategy, and content feeds for CX tools, ensuring compliance in a regulated fintech environment.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

Drive analytics to shape customer management strategy across credit, product, and operations. Analyze data, run A/B tests, build business cases, identify process improvements, and partner with Product, Credit, Finance, Engineering, and Operations to improve economics, experience, risk, and efficiency.