Investment AI Solutions Analyst

T. Rowe Price
Baltimore, London
Workplace: HybridFull timeUSD 133,000 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication"]

Build agentic AI capabilities that strengthen active investment management—designing architectures with LLMs, quantitative models, and real-time reasoning systems. Partner with fundamental analysts and portfolio managers to define roadmaps, translate investment problems into structured AI workflows, and deploy reliable agents with guardrails and observability. Collaborate across Investment, Data Science, and Technology teams to modernize the investment platform and improve research-to-decision velocity.

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T. Rowe Price
T. Rowe Price
2 hours ago

Investment AI Solutions Analyst

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Last checked: 2 hours agoStatus: Live

Job Summary

Build agentic AI capabilities that strengthen active investment management—designing architectures with LLMs, quantitative models, and real-time reasoning systems. Partner with fundamental analysts and portfolio managers to define roadmaps, translate investment problems into structured AI workflows, and deploy reliable agents with guardrails and observability. Collaborate across Investment, Data Science, and Technology teams to modernize the investment platform and improve research-to-decision velocity.
Location: Baltimore, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop consultative relationships with fundamental analysts and portfolio managers, serving as an AI subject matter expert to identify where AI can add value.
  • •Define the product roadmap, assess feasibility, and establish accountability with stakeholders.
  • •Design and deliver agentic AI architectures integrating LLMs, quantitative models, enterprise data pipelines, and real-time reasoning systems.
  • •Deploy and drive adoption of agents that use financial context and retrieve knowledge to produce research-grade outputs, with guardrails and compliance checks.
  • •Collaborate across Investment, Data Science, and Technology teams to modernize the investment platform and institutionalize best practices for orchestration, prompt engineering, and responsible AI.

Pay and Benefits

Salary: USD 133,000 - 200,000 annually
Perks:RetirementHybrid WorkPaid Leave

Key Requirements

  • •BS in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related).
  • •Expert-level programming with R or Python and experience applying it to agentic AI systems.
  • •Strong prompt engineering skills and ability to assess agentic feasibility and break workflows into step-by-step tasks.
  • •Deep expertise in data modeling/processing/integration/analytics with enterprise platforms such as Snowflake, Databricks, or BigQuery.
  • •5+ years of experience with financial modeling, portfolio construction, trading, or investment management workflows.
Experience:5+ yearsFinancial modelingPortfolio constructionTradingInvestment management
Education:Bachelor's in quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field)
Skills:Problem-solvingCommunication
Certifications:Databricks Certified Generative AI Engineer AssociateSnowPro Specialty: Gen AIAWS Certified Machine Learning Engineer – AssociateAWS Certified Machine Learning – Specialty
Tech Stack:RPythonLangChainAutoGenCrewAISemantic KernelLangGraphLLMsRetrieval-augmented generation (RAG)SnowflakeDatabricksBigQueryEnterprise data pipelinesPrompt engineeringMulti-agent coordinationObservabilityEnterprise data platformsAgentic AI

Company Brief

T. Rowe Price
Global investment management firm offering mutual funds, retirement services, and advisory solutions for individual and institutional investors. Manages assets across equities, fixed income, multi-asset, and alternative strategies.
Industry: Asset Management
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Baltimore, United States
Founded: 1937
WebsiteLinkedIn