Senior Lead Architect - Securities Services

JPMorgan Chase & Co.
Glasgow, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Java (Programming Language) Multitier Architecture Agile Methodology Artificial Intelligence Amazon Web Services C++ (Programming Language) Cyber Security Continuous Delivery Continuous Integration Data Architecture Data Integration Data Migration
+21 more
Data Warehousing JSON Python (Programming Language) Machine Learning Meta-Data Management Online Analytical Processing Online Transaction Processing Object-Oriented Software Development Oracle (Applications) Systems Development Life Cycle Reference Data Service-Oriented Architecture Software Engineering SQL Databases UML Extensible Markup Language (XML) MagicDraw Software Security Data Lakes Cassandra Microservices

Job description

As a Senior Lead Solution Architect at JPMorganChase within the Securities Services Engineering & Architecture team, you will be part of a cross-functional agile team responsible for designing, assessing, and delivering high-quality solution architectures underpinning the platforms built as part of a strategic reengineering effort supporting the Securities Services businesses within the Commercial & Investment Bank. Solution Architecture, as practiced in this role, comprises three interrelated disciplines - Functional Architecture, Information Architecture, and Technical Architecture - and the Lead Solution Architect is expected to work fluidly across all three. You will engage across multiple concurrent streams of work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards., * 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 (sub-LOB) 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.
  • Leverages 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.
  • Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.

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

About the company

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., J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jpmc.fa.oraclecloud.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:13 min

Evaluating UML, block diagrams, and the C4 model

Simon Lasselsberger · WWC 2022

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

3:08 min

Scaling semantic search with Astra DB and Apache Cassandra

David Leconte David Leconte +1 · WWC 2024

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

4:36 min

Visualizing system architecture with Mermaid UML diagrams

Jakov Semenski · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all