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Senior$1.6B raised
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Leeds, England, United Kingdom · Hybrid
Mid level$16B raised
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Full-time
bachelor degree
Posted 34d ago
~40 hrs/week
Responsibilities
Own the governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. Lead release management and coordinate with engineering, cyber, and risk teams to ensure safe production deployments.
Requirements
Requires a bachelor's degree and hands-on experience in system design, Python, Java, and AWS cloud-native delivery. Must demonstrate proficiency in CI/CD practices and the use of AI-assisted software development tools within a regulated environment.
Full job description
Build solutions that matter in a highly regulated environment where resiliency and security are as important as innovation. You’ll partner across engineering, cyber, risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You’ll help reduce toil through automation and create space for engineers and data scientists to do their best work. Join a team that values inclusion, growth, and pragmatic problem-solving.
As a Lead Software Engineer, Application Owner and Release Manager in the Wholesale Credit Risk Technology Analytics team, you will own day-to-day governance, risk posture, and operational resiliency for the Wholesale Credit Risk Analytics application estate. You’ll keep the system-of-record accurate, guide work through firm controls, and ensure releases move to production safely with minimal disruption. You’ll operate at the intersection of engineering, cyber, resiliency, and risk—translating firm-wide mandates into clear, executable actions for application teams. You don’t need to write every line of code, but you understand the platform end-to-end and own outcomes. You’ll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics.
Job responsibilities
Own application governance and records by maintaining accurate system-of-record information, certifications, and remediation workflows
Drive permit-to-operate activities by coordinating required inputs, re-certifications, and stakeholder responses to move changes safely into production
Monitor and remediate risk findings by assessing impact, prioritizing actions with engineering teams, and driving closure within agreed timelines
Approve access and control activities by enforcing least privilege, segregation of duties, and periodic access reviews in partnership with control owners
Own resiliency and recovery readiness by maintaining recovery plans, supporting resiliency events, and partnering on testing and evidence collection
Manage technology lifecycle work by identifying end-of-life or prohibited components and coordinating upgrades across dependencies and teams
Lead firmwide initiatives and non-functional tasks by maintaining a consolidated view, clarifying requirements, and tracking completion
Lead release management by aligning stakeholders, managing dependencies and risk, and overseeing readiness, deployment, and post-release validation
Develop secure, high-quality production code and contribute to technical troubleshooting, reviews, and continuous improvement
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns
Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized through automation
Required qualifications, capabilities, and skills
Bachelor’s degree or equivalent practical experience
Hands-on experience delivering system design, application development, testing, and operational stability in an agile environment
Proficiency in Python and Java
Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices
Working knowledge of cloud-native delivery on Amazon Web Services (for example: object storage, compute, containers, and managed data processing services)
Understanding of technology risk, controls, and compliance concepts, including identity and access management and audit readiness
Demonstrated experience leading effective use of approved AI-assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to coach engineers on safe, compliant adoption within delivery practices
Ability to understand an application end-to-end, including dependencies, data flows, and deployment topology
Strong organization, prioritization, and communication skills, with the ability to influence partners without direct authority
Comfort operating in ambiguity and translating broad mandates into an actionable backlog
Preferred qualifications, capabilities, and skills
Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment
Familiarity with Databricks and cloud data-lake patterns using object storage as a core data store
Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes, and infrastructure-as-code
Understanding of resiliency concepts such as recovery time objectives, recovery point objectives, multi-zone design, and disaster recovery testing
Experience partnering with data science teams and business stakeholders to translate analytical needs into governed, compliant technology solutions
Exposure to using AI-assisted tooling to reduce operational toil while retaining strong human judgment and accountability
Domain awareness of wholesale or commercial credit risk analytics and modernization from monoliths to microservices
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms
JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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How many Data & Analytics jobs are open in Glasgow, United Kingdom right now?
There are currently 236 open data & analytics positions in Glasgow, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Glasgow, United Kingdom?
Companies currently hiring include JPMorganChase, Barclays Corporate Banking, Capgemini, Morgan Stanley, Deloitte, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Glasgow, United Kingdom?
Yes — 117 of the 236 open data & analytics positions offer remote or hybrid work (13 remote, 104 hybrid).
How do I apply for Data & Analytics jobs in Glasgow, United Kingdom?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.