Risk External Reporting Controller Analyst

JPMorgan Chase & Co.•Newark, DE

2h•Onsite

About The Position

As an Risk External Reporting Controller Analyst, you will play a key role in supporting the delivery of recurring outputs across multiple risk areas, partnering with stakeholders to produce accurate and timely reporting. You will primarily focus on running data analytics, performing reconciliations and delivering high-quality reporting products under firm deadlines in support of the Firm’s required disclosures, including the Earnings Supplement and the 10Q/K Reports. You will work closely with partners across Risk to ensure external reporting deliverables are accurate, consistent, and audit ready. Key stakeholders include the Market Risk, Principal Risk, Country Risk, Credit Risk and Allowance teams, along with partners in Finance and Controllers, Regulatory Reporting, Product Control and SEC Reporting functions where relevant, and governance, controls, and oversight stakeholders. You will also engage with senior risk management to support review, sign-off, and escalation of material issues and themes.

Requirements

A Bachelor’s degree in a quantitative or business-relevant discipline (for example, Finance, Economics, Mathematics, Statistics, Engineering, or a related field), or equivalent practical experience.
Strong organization and attention to detail, with the ability to manage multiple deadline-driven deliverables concurrently, maintain structured workpapers, and execute consistently within a recurring reporting cadence.
Demonstrated strength in data analytics and reconciliations, including advanced Excel skills and the ability to query and validate data using SQL or similar tools. Experience with Python & Alteryx is valued but not required.
Clear and succinct written and verbal communication skills, including the ability to explain variances, reconcile differences across sources, and provide crisp, well-supported commentary for senior stakeholders.
Strong stakeholder management and teamwork skills, including the ability to coordinate across cross-functional partners, drive timely responses, escalate appropriately, and maintain high standards under pressure.
Proven ability to operate within controls and governance expectations, producing well-documented, auditable outputs with clear lineage, evidence, and adherence to defined procedures.
Responsible, policy-compliant ability to leverage AI tools and resources to improve efficiency and quality, including drafting support, reconciliation assistance, and automation concepts, with appropriate validation, confidentiality awareness, and documentation.

Nice To Haves

Experience supporting external or regulatory reporting, risk reporting, or controller-facing reporting in an environment with strong controls, governance, and audit expectations.
Familiarity with control frameworks, evidence standards, and operating procedures that support repeatable, well-governed reporting, including an understanding of data lineage and traceability.
Experience working across multiple risk types, including exposure to one or more of Market Risk, Principal Risk, Country Risk, Credit Risk, or Allowance reporting processes.
Demonstrated process improvement capability, including automation and standardization using scripting (such as Python), workflow tooling, AI solutions, or repeatable reconciliation frameworks.

Responsibilities

Support in the submission of the Firm’s quarterly reports, including Earnings Supplement, 10-Q and 10-K reports
Run data analysis and develop clear explanations of key changes, including the drivers, data considerations, and remediations.
Perform data reconciliations across multiple risk areas to investigate breaks and anomalies, perform quality checks and conduct root-cause analysis of variances and movements in support of senior management quarterly sign-off.
Support the governance framework for external reporting by preparing audit-ready documentation, including process notes, control evidence, reconciliation support, and detailed commentary.
Collaborate and communicate with key stakeholders to deliver timely and accurate deliverables.
Drive continuous improvement through AI and automation to reduce manual effort, improve quality, and accelerate outputs.