Top Tech Jobs & Startup Jobs

Owns day-to-day accounting and treasury operations, including multi-entity month-end close, consolidations, reconciliations, GAAP compliance, audit coordination, internal controls, and tax and treasury partnerships. The role leads process improvements, introduces AI-enabled accounting workflows, supports IPO readiness, and develops a small accounting team as a player-coach.

Owns day-to-day corporate legal operations, including investor due diligence, audit requests, governance documentation, corporate filings, entity records, outside counsel and legal vendor management. Supports commercial transactions and compliance matters while coordinating with Finance, IT, Tax, Treasury, and People teams. The role may expand into board coordination, legal research, contract drafting, and corporate IP portfolio management.

Leads a team of 13–15 Fraud Associates responsible for protecting cardholders from fraudulent activity. Oversees coaching, performance management, scheduling, escalations, staffing, and career development. Uses operational data and dashboards to improve accuracy and efficiency, handles complex fraud cases, translates policy updates into team guidance, and helps build scalable fraud operations processes and culture.

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.

Design, develop, and deploy supervised machine learning models for credit decisioning. Collaborate with business and technical stakeholders to create data sources, improve modeling methodology, operationalize models, and manage model evaluation and risk for production systems.

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.

Build and maintain advanced financial models and tools to evaluate funding alternatives, structure debt and equity strategies, and support capital raise activities. Partner with Credit, Data, and FP&A teams, generate investor materials, present to investors and senior management, and leverage large datasets and AI to drive reporting, analytics, and execution across the capital stack.

Lead a data science team focused on credit risk modeling: design, develop, deploy, and manage production machine learning models. Partner cross-functionally to improve data sources, modeling methodology, risk management, and team capabilities.

Own analytics, modeling, reporting, and recommendations for portfolio management. Design underwriting and pricing for multicard and line-extension strategies, test rewards upgrades and purchase incentives to boost engagement, and partner with risk, data science, and engineering to operationalize strategies and defend recommendations to stakeholders.

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.