Senior Systems Analyst

Fidelity • Boston, MA

11h

About The Position

This role is for a Senior Systems Analyst within Fidelity's Asset Management's Portfolio Management and Research organization, focusing on advancing Investment Research capabilities. The individual will be a senior individual contributor and thought leader, responsible for analysis execution and driving analytical direction across complex, cross-domain initiatives. The role involves partnering with senior product, engineering, architecture, and business leaders to ensure technology solutions are scalable, resilient, and aligned with long-term research strategy. The primary goal is to enable Investment Professionals to discover, analyze, and publish research efficiently, providing Portfolio Managers with timely, high-quality insights for portfolio construction and alpha generation. The position also emphasizes the responsible application of Generative AI tools to enhance analysis quality and accelerate synthesis.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
• 5+ years of experience in Systems Analysis or closely related roles
• Demonstrated history of owning and driving outcomes for large, mission-critical initiatives
• Strong leadership presence with the ability to influence without authority
• Exceptional written and verbal communication skills at both technical and executive levels
• Extensive experience as a Systems Analyst on enterprise-scale, cloud-based platforms
• Strong conceptual understanding of Java-based architectures, with the ability to reason about system behavior, performance, and integration patterns
• Deep hands-on experience with APIs and service-oriented architectures, including RESTful design, versioning strategies, and error handling
• Advanced SQL proficiency and confidence working with large, complex relational datasets
• Strong understanding of modern cloud architectures, event-driven patterns, and distributed systems
• Proven experience operating effectively in Agile at scale, including multi-team delivery models
• Experience influencing test strategy and quality practices, including collaboration on automation approaches (e.g., Playwright)
• Strong working knowledge of Generative AI concepts, limitations, and enterprise-safe usage
• Proven experience applying GenAI tools to: Accelerate complex analysis and discovery, Improve clarity and quality of technical documentation, Synthesize large volumes of information into actionable insights
• Clear understanding of responsible AI usage, data privacy, and security considerations in a regulated environment

Responsibilities

• Provide analysis leadership across large-scale, highly complex initiatives spanning multiple platforms, domains, and data flows
• Operate as a go-to analyst for ambiguous problem spaces, shaping problem statements and solution approaches before requirements are fully formed
• Lead deep systems discovery and architectural analysis, including reverse-engineering legacy platforms and evaluating modernization paths
• Collaborate with product, architecture, and engineering leadership to influence solution design, integration strategy, and roadmap decisions
• Translate complex business objectives into clear, scalable technical designs, epics, and high-quality investment-ready user stories
• Evaluate and define API strategies, data contracts, and service interaction models across internal and external systems
• Perform advanced data analysis using relational databases to validate assumptions, uncover risks, and inform trade-off decisions
• Own and curate system-level artifacts (end-to-end flows, state diagrams, interface contracts, dependency maps) used across squads and programs
• Act as a bridge between business strategy and technical execution, communicating effectively with senior stakeholders
• Apply Generative AI tools responsibly to enhance analysis quality, accelerate synthesis, and improve documentation and decision support
• Drive continuous improvement in analysis discipline, tooling, and delivery effectiveness across the organization
• Take accountability for end-to-end requirement integrity, from early discovery through implementation validation and release readiness

Benefits

• Comprehensive health care coverage
• Emotional well-being support
• Market-leading retirement
• Generous paid time off
• Parental leave
• Charitable giving employee match program
• Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

What This Job Offers

• Job Type: Full-time
• Career Level: Senior