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AVP, Data Analytics - Regulatory Reporting

Axos

HQ - San Diego, CA, USonsite

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About this role

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; f

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