AVP, Data Analytics - Regulatory Reporting

Axos Bank • San Diego, CA

4d • $85,000 - $110,000 • Onsite

About The Position

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.

Requirements

• 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 with MLflow, Databricks AutoML, or similar model lifecycle management tools is a plus.
• Experience with AI-enabled data governance tools (e.g., automated data quality frameworks, intelligent cataloging, or policy enforcement engines) and familiarity with model risk management (SR 11-7) requirements in a banking context.

Nice To Haves

• CPA, CFA, FRM, or equivalent professional designation a plus.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• Medical, Dental, Vision, and Life Insurance
• Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)
• HSA or FSA account and other voluntary benefits
• 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
• Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level