• Assist in facilitating state license applications • Organize and monitor licensing efforts • Assist in monitoring and testing company processes to ensure compliance with company policies and procedures and regulatory guidelines. • Document review, data analysis, and/or evidence production for the Compliance Department. • Research testing findings, root cause issues, and develop / propose solutions for practices that are out of compliance. • Take ownership over and provide recommendations for improvement of Compliance Management System processes. • Prepare and maintain reports for management • Any other Compliance-related tasks necessary to ensure to the growth of the Compliance Management System

• Discovering, understanding, overviewing, and proposing solutions to clients’ business problems that can be solved on the basis of data analytics and visualization • Assessing, coordinating the clients dashboarding requirements, and proactively proposing dashboard, KPI and information hierarchy that fits the business questions • Designing and developing executive and tactical (rarely operational) dashboards • Enhance our Clients’ reporting capabilities through reporting governance and knowledge transfer of best practices • Through data analysis uncover business opportunities and problems followed by formulating and conveying recommendations • Supporting of data analysis projects with presentation of the results of exploratory analyses and visual presentation of data analysis results • Creating the semantic models behind the dashboard as needed

• Strategic Data Architecture: Design and optimize end-to-end data pipelines for Partner Files, moving beyond simple monitoring to building automated, resilient ingestion frameworks that minimize manual intervention. • Advanced SQL & Analytics Engineering: Develop, peer-review, and maintain production-grade SQL repositories. You will lead the technical logic for onboarding complex new financial partners and integrating multi-source data streams. • Investigative Analytics & Forensic Discovery: Conduct deep-dive forensic analysis on complex financial discrepancies. You will utilize advanced statistical methods to perform root-cause analysis on variance outliers, identifying systemic issues before they impact the General Ledger. • Governance & Control Leadership: Architect and oversee the automated validation framework. You will define the "Source of Truth" standards and implement proactive anomaly detection to ensure 100% financial data integrity. • System Subject Matter Expertise: Serve as the lead technical consultant on the Finxact core system. You will translate complex banking configurations into clear financial logic for executive leadership and external auditors. • Financial Data Research: Stay at the forefront of Fintech data trends and regulatory shifts. You will perform longitudinal research on transaction patterns and partner behavior to provide predictive insights that inform product pricing and risk strategies. • Process Transformation: Identify systemic inefficiencies in existing BaaS workflows and lead cross-functional projects to automate reporting, reducing time-to-close and increasing auditability. • Mentorship & Collaboration: Act as a technical mentor to junior analysts. Partner directly with Product and Engineering leads to influence the data roadmap for future product launches.

• Validate forecast inputs and outputs across consumer-facing features within scope. • Perform QA and logic checks on global vehicle and feature data structures. • Support rollout strategy and timing assumptions across component groups. • Assist in designing, cleaning, and publishing consumer survey data. • Build and maintain consumer dashboards for tracking consumer shifts. • Help translate qualitative survey insights into forecastable data attributes. • Support the global team in managing nuanced requests coming from clients to help them understand methodology and topics related to our direct coverage. • Maintain databases which track automotive technologies and supplier information while providing analysis and rationale to support the data. • Perform data cleansing tasks, including populating vehicle technology data for regions beyond your own. • Drive quality projects aimed at enhancing, building, or better maintaining research accuracy around the connected vehicle space.