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Capital Analytics & Solutions - Associate

Warszawa, Mazowieckie, Poland

Live, first seen by us 41 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Support development and maintenance of capital analytics models

  • Analyze large, complex datasets to surface business insights

  • Build prototypes and workflows that improve capital reporting accuracy and timeliness

  • Translate regulatory and business requirements into data definitions and calculations

  • Use AI-assisted tools such as GitHub Copilot to speed up coding and documentation

From the employer’s posting
Support the development, enhancement, and maintenance of capital analytics models
Work with large and complex datasets to investigate opportunities to highlight business insights
Build prototypes and analytical workflows that improve the accuracy, transparency, and timeliness of capital reporting.
Translate business and regulatory requirements into clear data definitions, calculations, controls, and user experiences.
Use AI-assisted development tools, including GitHub Copilot, to accelerate coding, prototyping, documentation, and analysis
Education & alternatives
- Strong analytical and problem-solving skills with excellent attention to detail. - Bachelor’s degree required in Finance, Accounting, Economics, or a related analytical discipline. - Working knowledge of SQL and experience manipulating or analysing structured data.
Apply at JPMorgan Chase

Posting record

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Status in our records
Live
First seen by us
Sep 30, 202641 days ago
Recorded sightings
198
Last seen by us
Nov 11, 2026
Employer says posted
Sep 25, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 41

Similar jobs usually come down between day 5 and day 43.

Well past JPMorgan Chase’s usual: its jobs come down by about day 15.

From 13,640 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.

JPMorgan Chase is hiring

366 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Excel
Where the posting names them
- Working knowledge of SQL and experience manipulating or analysing structured data. - Familiarity with Python, Excel, data visualization, or dashboard development. - Comfortable working with calculations, business rules, data definitions, and reconciliations.
- 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.

Your next step

Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.

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About JPMorgan Chase

People
About 318,512 in 2025.Annual report (SEC Form 10-K)
Company
Listed as JPM.
Layoff notices
Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices

Demand for Analyst roles

New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 966, the most 1,494, and the latest week had 1,494.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

 

Turn complex financial data into clear, actionable insights that help shape how regulatory capital is measured and reported. In this role, you will solve real business problems at the intersection of analytics, technology, and stakeholder partnership. 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 Associate 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

  • Support the development, enhancement, and maintenance of capital analytics models
  • Work with large and complex datasets to investigate opportunities to highlight business insights
  • Build prototypes and analytical workflows that improve the accuracy, transparency, and timeliness of capital reporting.
  • Translate business and regulatory requirements into clear data definitions, calculations, controls, and user experiences.
  • Use AI-assisted development tools, including GitHub Copilot, to accelerate coding, prototyping, documentation, and analysis while maintaining quality and control standards.
  • Partner with Product Controllers, Risk, various Capital teams, Technology, and other stakeholders to gather requirements and communicate results.
  • Contribute to documentation, testing, reconciliation, process improvement, and team best practices.

     

Required qualifications, capabilities, and skills

  • Minimum 4+ years of full-time experience in finance, risk, data analysis, technology, or a related analytical role.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • 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.
  • 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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Location & working pattern

Warszawa, Mazowieckie, Poland

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