Compliance - Regulatory Strategy Officer - Associate

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 95,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in Tampa seeks a Regulatory Strategy Associate within CCOR to apply analytics, AI-enabled BI, and ML to regulatory engagement and governance. You will translate business needs into actionable analytical solutions and deliver AI-enabled reporting for senior stakeholders.

You will collaborate across the firm with Lines of Business, Compliance, Risk, Technology, and Finance to modernize governance and deliver governance-focused metrics and self-service analytics at scale.

Qualifications

• Bachelor’s degree in a quantitative, engineering or related field with 2+ years of relevant work experience.
• Proficiency in SQL for querying, joining datasets, validating results and translating analysis into insights.
• Experience building or maintaining dashboards with Tableau, ThoughtSpot, Power BI or similar BI tools.

Responsibilities

• Write and optimize SQL queries to deliver recurring reporting and ad-hoc analytics.
• Develop, publish, and maintain dashboards for senior audiences with consistent definitions.
• Contribute to AI-enabled BI assets including semantic layer buildout and governance.
• Define and maintain governed metric definitions and KPI logic for self-service analytics.
• Identify opportunities where Machine Learning and GenAI can add value with stakeholders.
• Support requirements gathering, mockups, user stories, and backlog prioritization.
• Assist AI prompt development and monitor performance and quality with stakeholders.
• Support automation of reporting from multiple regulatory systems using Tableau and Alteryx.
• Build strong relationships with partners and senior leaders to drive analytics adoption.

Skills

SQL

Dashboards

Data visualization

Communication

GenAI interest

Education

Bachelor's degree in quantitative field

Tools

Databricks

Tableau

ThoughtSpot

Power BI

Job description

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Regulatory Strategy Associate within the Compliance, Conduct and Operational Risk (CCOR) organization, you will apply analytics, AI-enabled business intelligence, Machine Learning, and GenAI to solve real business problems within regulatory engagement and governance. You will play a pivotal role in modernizing how teams manage regulatory interactions and how senior stakeholders consume insights by delivering AI-enabled reporting and analytics solutions, including governed metrics, SQL-driven data products, and AI-integrated dashboards. To be successful in the role, you will need strong problem-solving and communication skills, an ability to translate business needs into actionable analytical solutions, and genuine curiosity about artificial intelligence.

In this role, you will be responsible for collaborating across the firm, engaging with diverse departments such as Lines of Business/Functions, Compliance, Risk, Technology, Finance, and senior governance stakeholders. You will cultivate expertise in the firm’s regulatory agenda and acquire a comprehensive understanding of how governance is managed at a firm-wide level. Additionally, you will have the opportunity to provide insights to senior stakeholders up to the Operating Committee level.

Job Responsibilities

• Write and optimize SQL queries to deliver recurring reporting, ad-hoc analytics, and timely responses to stakeholder questions across regulatory engagement topics (regulatory issues, engagements with regulators, meetings, and requests).
• Develop, publish, and maintain stakeholder-facing dashboards and analytics (e.g., Tableau and/or ThoughtSpot), ensuring consistent definitions, logic, and user experience for senior audiences.
• Contribute to the development and enhancement of AI-enabled business intelligence assets (e.g., Databricks, ThoughtSpot, Tableau Pulse), including semantic layer buildout and governed metric definitions.
• Partner with stakeholders to define and maintain governed metric definitions and semantic layers to enable consistent KPI logic and scalable self-service analytics.
• Identify, evaluate, and help prioritize opportunities where Machine Learning and GenAI can add value, in partnership with stakeholders and developers.
• Support requirements gathering activities, including drafting mockups, user stories, and acceptance criteria, and help maintain and prioritize the product backlog.
• Support AI prompt and instruction development, testing of changes, and monitor performance and quality in partnership with stakeholders.
• Support automation and transformation of new and existing reporting sourced from multiple regulatory systems using tools such as Tableau and Alteryx.
• Build strong relationships with partners and senior leaders across the firm to drive delivery, adoption, and continuous improvement of analytics and reporting capabilities.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in a quantitative, engineering, computer science, statistics, or related technical field with 2+ years of relevant work experience.
• Strong SQL skills, including querying, joining datasets, validating results, troubleshooting data issues, and translating analysis into clear stakeholder-facing insights.
• Experience building, maintaining, or enhancing dashboards or recurring reports using Tableau, ThoughtSpot, Power BI, Qlik, or a similar business intelligence / visualization tool.
• Strong written and verbal communication skills, with the ability to explain data, technology, and analytical concepts clearly to both technical and non-technical stakeholders.
• Strong interest in AI-enabled analytics and automation, with a business-outcome mindset and willingness to learn emerging tools, methods, and governance expectations.
• Detail-oriented, proactive, and organized, with the ability to manage multiple priorities, deadlines, and stakeholder requests in a fast-paced environment.

Preferred Qualifications, Capabilities, and Skills

• Experience with Databricks, governed data environments, or AI-enabled analytics tools.
• Exposure to maintaining or improving LLM assistants, agents, prompt instructions , or AI-enabled business intelligence assets, along with an understanding of semantic layers, governed KPI definitions, or self-service analytics enablement.
• Background in regulatory, risk, compliance, control, finance, audit, or other governance-oriented business processes.