Senior Lead Architect – Securities Services

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering or architecture concepts and applied experience.
• Hands-on solution architecture experience in enterprise-sized applications spanning functional, information, and technical dimensions, with strong working knowledge of data modeling and meta-modeling (such as UML) or tools such as ERwin, Power Designer, or MagicDraw.
• Knowledge of data architecture options including ODS, Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP, and the treatment of data as a technology asset.
• Knowledge of core solution architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling.
• Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines.
• Hands-on experience with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings.
• Very strong knowledge of the financial services domain with emphasis on institutional businesses including Trading Middle Office, Prime Brokerage, Custody, Fund Accounting, and Securities and Derivatives Products across buy-side and sell-side perspectives.
• Experience working within lean/agile development frameworks, continuous integration, and continuous delivery.
• Extremely strong communication and facilitation skills across business and technology stakeholders, with the ability to communicate unambiguously through presentations, documents, workshops, and agile meetings.
• Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.
• Hands-on Public Cloud solution design experience, primarily AWS, including architecture certification for a Public Cloud provider.
• Experience with microservice application development, Service-Oriented Architecture, or N-Tier Architecture.
• Experience with Infrastructure as Code designs and secure application and software design practices.
• Experience with cyber security concerns informing solution architectures, including working knowledge of industry standards in the authentication and authorization domains.
• UML experience/exposure.

Responsibilities:

• Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions.
• Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration.
• Apply AI tools and techniques to improve solution architecture practices, including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation.
• Ensure full conformance with firm-wide, CIB, and sub-Line of Business architecture patterns and standards, participating in architecture governance bodies.
• Lead evaluation sessions with external vendors, internal teams, and technology partners to assess architectural designs, technical credentials, and applicability within existing systems and information landscapes.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and solution quality.
• Evangelize the benefits and importance of solution architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums.
• Leverage enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
• Establish reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability, auditability, resiliency, and security controls.

Technologies:

• AI
• AWS
• Cloud
• Cassandra
• JSON
• Java
• Machine Learning
• Oracle
• Python
• SQL
• Security
• UML
• XML
• Architect

More:

We are JPMorganChase, a global leader in financial services, and our Commercial & Investment Bank serves corporations, governments, and institutions across more than 100 countries. Our Securities Services Engineering & Architecture team works as a cross-functional agile group supporting a strategic reengineering effort for Securities Services platforms within the Commercial & Investment Bank. We offer a first-class business in a first-class way approach, value diversity and inclusion, and provide an environment where trusted long-term partnerships and strong technical architecture practices help us deliver for our clients.

last updated 35 week of 2026