Lead Equity Investments Tech Analyst (Hybrid)

T Rowe Price

Baltimore (MD)

Hybrid

USD 122,000 - 209,000

Full time

14 days+

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Benefits offered by this job

Hybrid work schedule
Competitive compensation
Annual bonus eligibility
Health and wellness benefits
Paid time off

Job summary

T. Rowe Price seeks a seasoned Business Analyst to join Investments Technology, partnering with equity teams, product owners, and engineers to translate complex investment needs into scalable technology solutions.

You will lead requirements, backlog refinement, and the delivery of data-driven, AI-enabled capabilities that improve research, portfolio management, and decision support. The role emphasizes strong domain knowledge, disciplined Agile delivery, and collaboration across AI, data, and

Qualifications

  • 8+ years in business analysis, product analysis, or related investment tech roles.
  • Partner with product owners, engineers, data teams, QA, and tech leadership.
  • Strong Agile delivery experience: Scrum or Kanban, backlog mgmt and user stories.
  • Explain investment, data, AI, and tech concepts to diverse audiences.
  • Experience with Jira, Confluence, Azure DevOps; SQL and data analysis a plus.

Responsibilities

  • Lead discovery, requirements elicitation, and solution definition for equity tech initiatives.
  • Translate workflows into epics, features, user stories, acceptance criteria, and rules.
  • Drive backlog refinement, sprint planning, demos, UAT, and release readiness.
  • Align priorities with business value, risk, and strategic Investments Technology goals.
  • Identify AI, automation, and analytics opportunities; support responsible adoption.
  • Mentor junior analysts and contribute to better BA, Agile, and product practices.

Skills

Stakeholder collaboration
Agile delivery
Investment domain knowledge
SQL proficiency
Analytical thinking
AI awareness
Communication

Tools

Jira
Confluence
Azure DevOps

Job description

T. Rowe Price seeks a seasoned Business Analyst to join Investments Technology, partnering with equity teams, product owners, and engineers to translate complex investment needs into scalable technology solutions.

You will lead requirements, backlog refinement, and the delivery of data-driven, AI-enabled capabilities that improve research, portfolio management, and decision support. The role emphasizes strong domain knowledge, disciplined Agile delivery, and collaboration across AI, data, and

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