Lead a data science team in the design, development, and deployment of machine learning models to optimize credit risk decisions. Partner with cross-functional business and technical leaders to integrate new data sources and ensure sound risk management.
Mission Lane
11 Remote Job Openings at Mission Lane
The role focuses on identifying emerging fraud patterns and designing real-time defense strategies to protect customers and the business. It involves balancing risk prevention with customer experience and reporting on key performance metrics via dashboards.
Associate General Counsel, Collections, Servicing and Customer Operations
Mission Lane
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Full Time
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10 days ago
Mission Lane
Provide legal and strategic guidance across collections, servicing, and customer operations while managing day-to-day legal advice and contract negotiations. Partner with Compliance and Risk teams to ensure products and communications adhere to federal and state laws, including emerging AI regulations.
Own the 3-year vision and day-to-day execution of customer servicing and back office fulfillment. Lead in-house and outsourced teams to maintain resolution speed, quality scores, and cost efficiency.
Own fraud, collections, and back-office compliance for the credit card business, reporting to the Senior Compliance Manager. Act as the embedded compliance authority to identify gaps, run testing against critical controls, and provide risk-balanced guidance to business partners.
Develop and execute a comprehensive AI operations strategy from the ground up to improve contact center efficiency and customer experience. Collaborate with cross-functional teams in Product and Engineering to implement AI solutions and establish necessary governance.
Establish and lead the first line of defense for operations risk across customer originations, servicing, and payments. This includes managing the incident process, building controls, and delivering executive-level risk reporting.
Own the end-to-end content strategy, infrastructure, and execution across search, AI, and owned channels. Develop a multisource content model and optimize content for AI-powered search surfaces and customer-facing tools.
Architect and maintain scalable data models to support enterprise business intelligence and GenAI applications. Act as a strategic consultant to cross-functional stakeholders to develop self-serve analytics and automated data architecture.
You will design, develop, and deploy machine learning models to solve practical business problems and improve decision-making accuracy. You will also partner with cross-functional leaders to develop new data sources and mentor other data scientists on technical best practices.
The Principal Analyst will lead initiatives to enhance underwriting and pricing strategies, utilizing AI-driven tools for data analysis and optimizing acquisition strategies based on market conditions and customer behavior. They will also develop actionable financial strategies to improve credit risk and profitability while collaborating with cross-functional teams to bring strategies to market.