Lead Software Engineer — Portfolio Insights Platform, Wealth Management

Posted 53 Minutes Ago
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London, Greater London, England, GBR
Hybrid
Expert/Leader
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads development of a wealth management portfolio insights platform serving advisor and account data. Designs secure Java, Spring Boot, and Python services across ingestion, reconciliation, and serving layers; works with AWS, Kafka, relational databases, and cloud-native infrastructure. Drives architecture, code quality, resiliency, automation, AI-assisted engineering practices, and resolution of complex production data-consistency issues.
Summary Generated by Built In

 

Introductory Marketing Language:
Are you ready to make a difference in Wealth Management technology? At Connect Wealth’s Portfolio Insights Construction team, you’ll help build platforms that empower advisors and clients. You’ll work with cutting-edge tools, collaborate with talented colleagues, and drive meaningful change across the firm’s advisory business. We value creativity, inclusivity, and your unique perspective. Discover a place where your skills and ideas can thrive.

Job Summary:
As a Lead Software Engineer in Connect Wealth’s Portfolio Insights Construction team, you will play a pivotal role in developing and maintaining platforms that serve position and account data for Wealth Management advisors. You will collaborate with cross-functional teams to deliver real-time alerting, portfolio analytics, and client-facing dashboards. You’ll help shape the team culture, drive technical excellence, and ensure the platform’s reliability and impact. Your contributions will directly influence how advisors and clients experience our services.

Job Responsibilities:

  • Execute creative software solutions across ingestion, resolution, and serving layers of the platform
  • Design, develop, and troubleshoot technical challenges, breaking down complex data-reconciliation problems
  • Develop secure, high-quality production code in Java/Spring Boot and Python/Java Lambdas
  • Review and debug code, including cross-service and cross-repo changes
  • Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code
  • Apply SDLC toolchain and AI-assisted development capabilities to improve delivery velocity
  • Identify and automate remediation of recurring operational issues to enhance platform stability
  • Lead evaluation of architectural approaches for data-platform challenges and drive technical discussions with internal teams


Job Responsibilities:

  • Execute creative software solutions across ingestion, resolution, and serving layers of the platform
  • Design, develop, and troubleshoot technical challenges, breaking down complex data-reconciliation problems
  • Develop secure, high-quality production code in Java/Spring Boot and Python/Java Lambdas
  • Review and debug code, including cross-service and cross-repo changes
  • Drive adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards for AI-generated code
  • Apply SDLC toolchain and AI-assisted development capabilities to improve delivery velocity
  • Identify and automate remediation of recurring operational issues to enhance platform stability
  • Lead evaluation of architectural approaches for data-platform challenges and drive technical discussions with internal teams

Required Qualifications, Capabilities, and Skills:

  • Formal training or certification in software engineering concepts
  • Advanced hands-on experience with Java and Spring Boot in a microservices architecture
  • Practical experience with AWS cloud-native patterns: Lambda, Step Functions, Terraform-managed infrastructure, and relational databases at scale
  • Working knowledge of event-driven systems, including Kafka producers/consumers and consumer groups
  • Demonstrated experience leading effective use of approved AI-assisted development tools, with strong validation skills for AI output
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
  • Proficient across the full SDLC, with advanced understanding of agile delivery, CI/CD, application resiliency, and security practices
  • In-depth knowledge of financial services IT systems, ideally wealth/advisory data

Preferred Qualifications, Capabilities, and Skills:

  • Experience with Snowflake or other enterprise data mesh/warehouse platforms
  • Python for data and Lambda workloads alongside a primarily Java stack
  • Exposure to React/TypeScript for full-stack context on services with UI consumers
  • Experience diagnosing production data-consistency issues across multiple source-of-truth systems

If you’re looking for a collaborative environment where your expertise is valued and your growth is supported, Connect Wealth offers the opportunity to make a real impact. Join us and help shape the future of Wealth Management technology.



About UsJ.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.
About the TeamJ.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​

Skills Required

  • Formal training or certification in software engineering concepts
  • Advanced hands-on experience with Java and Spring Boot in a microservices architecture
  • Practical experience with AWS cloud-native patterns, including Lambda, Step Functions, Terraform-managed infrastructure, and relational databases at scale
  • Working knowledge of event-driven systems, including Kafka producers, consumers, and consumer groups
  • Experience leading effective use of approved AI-assisted development tools and validating AI-generated output
  • Understanding of responsible AI use in engineering workflows, data sensitivity, and secure data handling
  • Proficiency across the full SDLC, including agile delivery, CI/CD, application resiliency, and security practices
  • In-depth knowledge of financial services IT systems, ideally wealth or advisory data
  • Experience with Snowflake or other enterprise data mesh or warehouse platforms
  • Python experience for data and Lambda workloads alongside a primarily Java stack
  • Exposure to React and TypeScript for full-stack context
  • Experience diagnosing production data-consistency issues across multiple source-of-truth systems

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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