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Salary
≈ $35k – $66k per year (Estimated)
Location
In office (Warsaw)
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 23, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Help turn complex capital and regulatory requirements into clear, trusted insights that drive better decisions.

If you enjoy solving complex problems, working with large financial datasets, and developing analytical solutions that provide meaningful business insights, leveraging modern AI- assisted development tools that role is for you!

As a Capital Analytics & Solutions Analyst within the Basel Measurement & Analytics (BM&A) team, you will work at the intersection of regulatory capital, quantitative analysis, technology, and business partnership. You will be a part of a global Treasury and Chief Investment Office (CIO) of Corporate Finance team which is responsible for regulatory capital measurement processes, ensuring insightful analysis, effective capital management, and compliance. The team coordinates with Finance, Risk, and Regulatory Policy, covering policy interpretation, implementation oversight, regulatory engagement, Risk Weighted Assets (RWA) reporting, and capital stress testing. BM&A also drives investments in people and technology to enhance the accuracy and timeliness of regulatory capital measures (RWA, Capital, TLAC, SLR, and Tier 1 leverage calculations), and leads the implementation of new regulatory requirements.

Job responsibilities

  • Assist the team in the development, enhancement, and maintenance of capital analytics models, working under the guidance of senior team members.
  • Help analyze large and complex datasets to support the identification of business insights.
  • Support the building of prototypes and analytical workflows that improve the accuracy, transparency, and timeliness of capital reporting.
  • Help translate business and regulatory requirements into clear data definitions, calculations, and controls, with direction from more experienced colleagues.
  • Use AI-assisted development tools, including GitHub Copilot, to support coding, prototyping, documentation, and analysis while following established quality and control standards.
  • Collaborate with Product Controllers, Risk, various Capital teams, Technology, and other stakeholders to help gather requirements and share results.
  • Contribute to documentation, testing, reconciliation, process improvement, and team best practices.

Required qualifications, capabilities, and skills

  • 1+ years of full-time experience in finance, risk, data analysis, technology, or a related analytical role.
  • Bachelor’s degree required in Finance, Accounting, Economics, or a related analytical discipline.
  • Working knowledge of SQL and experience manipulating or analysing structured data.
  • Familiarity with Python, Excel, data visualization, or dashboard development.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Comfortable working with calculations, business rules, data definitions, and reconciliations.
  • Strong written and verbal communication skills, with the ability to explain technical analysis to non-technical stakeholders.
  • Practical experience or strong familiarity with AI-powered development tools such as GitHub Copilot.

Preferred qualifications, capabilities, and skills

  • Exposure to regulatory capital, RWA, Basel, capital markets, stress testing, or financial risk, as well as financial product knowledge (e.g derivatives, SFTs etc)
  • Experience building dashboards, analytical prototypes, or interactive data tools.
  • Experience partnering across Finance, Risk, Technology, and business teams.
  • Interest in improving analytical workflows through automation and AI-assisted development.
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