Architecture Strategy & Leadership

• Define and evolve the target-state architecture for Investment and Research technology platforms.
• Develop architecture roadmaps aligned to business priorities, operating models, regulatory requirements, and enterprise standards.
• Lead architecture governance, design reviews, technology assessments, and modernization initiatives.
• Drive simplification of legacy platforms and adoption of scalable, cloud-native architectures.
• Establish architecture principles, integration patterns, reference architectures, and reusable platform capabilities.

Investment & Research Domain Architecture

• Experience supporting front-office investment and research functions.
• Portfolio management, construction, optimization workflows
• Trade lifecycle management and execution processes
• OMS/EMS platforms and market connectivity
• Investment research and quantitative analytics platforms
• Risk, performance, and attribution analytics
• Market, reference, and investment data ecosystems
• Research content, data distribution, and decision-support capabilities

Hands-On Technical Leadership

• Partner with engineering teams on solution design, implementation, and modernization efforts.
• Provide guidance on APIs, microservices, event-driven architecture, integration patterns, and distributed systems.
• Participate in design validation, proof-of-concepts, code reviews, and architecture troubleshooting.
• Resolve complex scalability, performance, resiliency, and integration challenges.

Cloud, Data & AI Architecture

• Lead the design and deployment of applications on GCP and PCF platforms.
• Define cloud-native patterns leveraging containers, automation, observability, and resilient infrastructure.
• Partner with data engineering teams to establish scalable data architectures, pipelines, metadata, and analytics-ready platforms.
• Identify opportunities to leverage AI and GenAI capabilities to enhance investment workflows, research productivity, knowledge discovery, and operational efficiency.
• Ensure AI solutions comply with enterprise governance, security, and risk management standards.

Engineering Excellence & Modernization

• Champion modern engineering practices including CI/CD, automated testing, security-by-design, observability, and platform reliability.
• Drive adoption of modular, API-first, event-enabled architectures.
• Collaborate with infrastructure, platform engineering, cybersecurity, and SRE teams to improve operational resilience and scalability.

Collaboration & Influence

• Partner with business, product, engineering, architecture, and data leaders to align technology strategy with business objectives.
• Communicate architecture decisions effectively to executive and technical audiences.
• Mentor engineers and architects and help elevate technical capabilities across the organization.
• Influence strategic technology direction through thought leadership and practical delivery experience.

Required Qualifications:

• 15+ years of experience in software engineering, solution architecture, or enterprise architecture roles.
• Significant experience within Asset Management, Investment Management, Research, Trading, or Quantitative Technology environments.
• Proven track record leading large-scale platform architecture and modernization initiatives.
• Strong understanding of software delivery within Agile and product-centric organizations.
• Ability to balance strategic architecture thinking with hands-on implementation leadership.
• Strong proficiency in Java (Spring Boot/Spring Cloud), .NET/C#, or Python.
• Deep expertise in microservices, event-driven architectures, API design, and distributed systems.
• Strong cloud architecture experience on GCP (preferred) or AWS.
• Experience with cloud-native technologies including Docker and Kubernetes.
• Strong understanding of data architecture, data engineering patterns, and analytics platforms.
• Experience with Snowflake, SQL Server, and modern cloud data platforms.
• Familiarity with DevOps toolchains including Git, Bitbucket, Bamboo, Jenkins, or equivalent platforms.
• Knowledge of AI/ML architecture patterns, model deployment, and governance frameworks.

Preferred Qualifications:

• Experience with industry platforms such as Aladdin, Charles River, Bloomberg, FactSet, Refinitiv, Perform, or VestmarkOne.
• Knowledge of FIX protocol, market data platforms, trading workflows, and investment operations.
• Familiarity with quantitative research, risk, and performance analytics ecosystems.
• TOGAF, Google Cloud Architect, or similar architecture certifications.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.