The Senior Manager will own the strategy and creative direction across digital acquisition channels to drive conversion and brand awareness. They will lead testing programs, manage digital creative spend, and partner with cross-functional teams to ensure a seamless user experience.
The Model Process Manager is responsible for owning the end-to-end documentation and improvement of model development and deployment processes across all business verticals. This role involves mapping current processes, identifying handoff gaps, and driving operational improvements to ensure efficient model delivery.
The Senior Business Manager will develop and optimize data-backed contact strategies for delinquent customer outreach using A/B and Champion/Challenger testing. They will lead cross-functional projects to build a strategic roadmap for customer engagement while balancing customer experience, risk, and operational costs.
The Senior Platform Manager will own the health, configuration, and optimization of authorization and transaction systems, including TSYS and Visa platforms. They will partner with Fraud, Product, and Engineering teams to ensure reliable card performance and effective transaction data management.
The Associate General Counsel will serve as the legal lead for capital markets, securitization programs, and finance-related transactions. They will also manage SEC reporting obligations, corporate governance, and outside counsel to ensure legal and business objectives are met.
The Senior Treasury Analyst will own daily cash management, liquidity operations, and bank account reconciliations. They will also support financial forecasting, reporting, and ensure compliance with debt covenants and corporate policies.
The Principal Business Analyst will own analytics, modeling, and reporting for portfolio management programs to drive customer engagement and risk management strategies. This role involves partnering with risk, data science, and engineering teams to refine underwriting and pricing strategies for credit products.
Innovate and improve machine learning models to drive efficient financial decisions for customers. Collaborate with business leaders and technical experts to develop new data sources and implement sound risk management.
Build and maintain financial models and tools to evaluate funding alternatives and capital raise activities. Partner with internal teams to structure debt and equity strategies and present materials to investors and senior management.
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.
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.
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.
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.
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.
