<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Lead Risk Software Engineer LDN - J.P. Morgan RSS Feed</title>
    <link>https://jobs.co.uk/job/lead-risk-software-engineer-ldn-jp-morgan--bfac18cc-26ee-4171-a4e1-99317aec7db5</link>
    <description>RSS feed for Lead Risk Software Engineer LDN at J.P. Morgan.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 22 Jul 2026 15:16:16 GMT</lastBuildDate>
    <item>
      <title>Lead Risk Software Engineer LDN - J.P. Morgan</title>
      <link>https://jobs.co.uk/job/lead-risk-software-engineer-ldn-jp-morgan--bfac18cc-26ee-4171-a4e1-99317aec7db5</link>
      <guid>https://jobs.co.uk/job/lead-risk-software-engineer-ldn-jp-morgan--bfac18cc-26ee-4171-a4e1-99317aec7db5</guid>
      <pubDate>Wed, 22 Jul 2026 11:52:25 GMT</pubDate>
      <description>Location: London | Salary: 10000-500000 Annual | Type: Permanent | hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION  We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit and loss analysis for our trading operations.  Key Responsibilities As a Senior Python Developer on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, to integrate systems across front office , middle and back office processing. Your work will directly support trading operations across multiple Rates Swap Derivative products and Options products . You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This include...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>