AVP, Data Analytics - Regulatory Reporting

Axos Bank Target Range: $85,000/Yr. - $110,000/Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 12.5% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 12.5% These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets. About This Job The AVP, Data Analytics – Regulatory Reporting is a critical leadership role responsible for overseeing the end-to-end production, accuracy, and timely delivery of all regulatory reporting obligations to the Office of the Comptroller of the Currency (OCC) and the Federal Reserve Board (FRB). This individual manages a team of 2 -3 data analysts and serves as the primary subject-matter expert and point of contact for regulatory data requests, examinations, and ad-hoc inquiries. The role requires a blend of technical data expertise, programming expertise, deep regulatory knowledge, and strong people management capabilities. RESPONSIBILITIES : Regulatory Reporting & Compliance Own and manage all regulatory reporting submissions to agencies like OCC, FRB, etc. Ensure all reports are accurate, complete, and submitted within prescribed regulatory deadlines; maintain a robust internal review and sign-off process. Respond to ad-hoc data requests, examination requests, and regulatory inquiries from agencies in a timely and well-documented manner. Monitor evolving regulatory guidance and reporting requirements; proactively assess and implement changes to reporting processes and data definitions. Maintain and update written policies, procedures, and controls governing the regulatory reporting function. Team Leadership & Development Directly manage and mentor a team of 2-3 data analysts; set clear performance expectations, conduct regular reviews, and support professional development goals. Coordinate workload distribution across the team to ensure coverage, quality, and on-time delivery for all reporting cycles and regulatory requests. Foster a culture of accuracy, accountability, and continuous improvement; identify skill gaps and develop targeted training plans. Recruit, onboard, and retain analytical talent in collaboration with HR and senior leadership. Data Management & Analytics Oversee data sourcing, data quality controls, and reconciliation processes for all regulatory data inputs; maintain comprehensive data lineage documentation. Partner with IT, Finance, Accounting, Risk, and Compliance teams to design and implement scalable data pipelines and automation solutions that reduce manual effort and report errors. Leverage SQL, Python, or other analytics tools to extract, transform, and validate large datasets for reporting and analytical purposes. Drive data governance best practices within the team, including metadata management, data dictionaries, and audit trail documentation. Experience in working with Databricks environment is required AI, Automation & Process Improvement Identify and implement AI driven solutions to automate repetitive regulatory reporting workflows, reducing cycle time and manual error risk; partner with data engineering and model risk teams to deploy, validate, and monitor production models. Champion AI-augmented data governance by leveraging automated data quality monitoring, anomaly detection, and intelligent lineage tracking tools (e.g., within Databricks Unity Catalog or equivalent) to strengthen audit-readiness and regulatory defensibility. Lead continuous improvement initiatives using process mining, workflow automation and NLP-based tools to streamline regulatory document review, data validation, and examiner response preparation. Stakeholder Engagement Serve as a key liaison between the analytics team and senior management, Compliance, Legal, and external regulators on all reporting and data matters. Present findings, reporting results, and issue summaries to VP and C-suite stakeholders in a clear and actionable format. Coordinate with Internal Audit and Model Risk Management to address findings and support remediation efforts related to regulatory reporting. Prepare and deliver briefing materials for agencies examination teams; manage information requests during examination cycles. QUALIFICATIONS : Bachelor’s degree in finance, Economics, Statistics, Data Science, or a related quantitative field; advanced degree (MBA, MS or equivalent) preferred. 5–8 years of progressive experience in data analytics, regulatory reporting, or financial reporting within a bank, financial institution, or regulatory agency. Direct, hands-on experience in preparing and managing regulatory reporting requirements for regulatory agencies. 2+ years of people management experience with a demonstrated ability to lead, develop, and retain analytical talent. Advanced proficiency in SQL; experience with Python preferred. Familiarity with BI tools (Tableau, Power BI) is a plus. Strong understanding of banking products, credit risk, and financial instruments as they relate to regulatory classification and reporting. Exceptional attention to detail, analytical rigor, and ability to manage multiple high-priority deadlines simultaneously. Strong written and verbal communication skills; comfortable presenting complex data issues to non-technical audiences and regulators. Experience working in Databricks for building data pipelines, performing SQL/Python-based analytics and modeling, and supporting scalable, governed data and ML workflows using Delta Lake and Unity Catalog. Familiarity with data governance frameworks, metadata management, and enterprise data warehouses in a financial services context. Hands-on experience applying AI/ML techniques (e.g., gradient boosting, time-series models, NLP) to credit analytics or regulatory reporting use cases; familiarity