Investment AI Solutions Analyst
Investment AI Solutions Analyst

Investment AI Solutions Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to build AI systems that revolutionise investment management.
  • Company: T. Rowe Price, a leader in global asset management.
  • Benefits: Hybrid work options, competitive salary, and a commitment to diversity.
  • Why this job: Be at the forefront of AI innovation in finance and make a real impact.
  • Qualifications: B.S. in a quantitative field and expertise in programming languages like Python or R.
  • Other info: Collaborate with top analysts and shape the future of investment strategies.

The predicted salary is between 36000 - 60000 £ per year.

Join us for the opportunity to grow and make a difference in ways that matter to you. This is a rare opportunity to sit at the frontier of investment and artificial intelligence, building systems that redefine what’s possible in active management. You will help pioneer a new generation of AI-powered investment capabilities that expand human insight, accelerate alpha generation, and shape the future of how T. Rowe Price delivers value to clients globally.

The Investment AI Solutions Analyst plays a pivotal role in realizing that future. This role combines deep investment knowledge with leading technical expertise in AI systems design to create, deploy, and operationalize agentic AI. These agents will enhance every facet of the investment process, from research discovery and portfolio construction to risk analysis and client engagement. Working alongside experienced analysts and portfolio managers, this role will help deliver innovative AI insights that inform better investment decisions.

This is an opportunity to be part of a team deeply engaged in pioneering AI research and modern quantitative approaches, collaborating directly with our fundamental research platform on initiatives that help shape the future of the firm’s investment strategies. Guiding teams of investors, AI engineers, technologists, and architects, you will enhance the capabilities of investors and shape the next era of investment management where autonomous systems reason, plan, and act in collaboration with human investors. These systems will not only drive superior investment outcomes but also uncover new opportunities and redefine how institutional investors generate insight at scale.

Responsibilities
  • Build Strategic Relationships with Stakeholders
  • Develop and maintain strong, consultative relationships with fundamental analysts and portfolio managers (PMs). Understand each stakeholder's investment framework, objectives, and decision-making approach.
  • Serve as a highly regarded subject matter expert in AI. Identify opportunities where AI can add meaningful value to fundamental investors.
  • Define the product roadmap, assess feasibility, and establish accountability in close partnership with stakeholders.
  • Architect the Next Generation of Investment Intelligence
    • Design and deliver agentic architectures that integrate LLMs, quantitative models, enterprise data pipelines, and real-time reasoning systems.
    • Deploy and drive adoption of agents that understand financial context, retrieve relevant knowledge, and generate research-grade outputs that enhance the work of investors.
    • Implement robust guardrails, compliance checks, and observability frameworks to ensure agents operate reliably in production investment environments.
    • Continuously evaluate and integrate emerging frameworks in multi-agent coordination, retrieval-augmented generation (RAG), and prompt design.
  • Fuse AI and Research
    • Partner with fundamental and quantitative investors to identify high-value opportunities for AI-enabled automation and augmentation.
    • Translate complex investment problems into structured AI workflows that generate measurable alpha and enhance decision velocity.
    • Push relevant research proactively to analysts and PMs, supplementing their ongoing decision-making process.
    • Present research and recommendations confidently in meetings and formal presentations to the investment team.
  • Collaborate, Lead, and Transform
    • Work across Investment, Data Science, and Technology teams to deliver AI-native capabilities that modernize T. Rowe Price’s investment platform.
    • Lead workflow transformations that translate complex processes into intelligent agentic solutions.
    • Continuously develop investment workflow prototypes to test the feasibility of fully autonomous, self-improving systems.
    • Help institutionalize best practices for prompt engineering, orchestration, and responsible AI across the investment organization.
    Success Measures
    • Strength and breadth of relationships with key stakeholders (Analysts, PMs, Investments leadership).
    • Measurable productivity gains from agentic workflows through increased awareness and utilization by fundamental investors.
    • Measurable improvement to investment results and incremental revenue generation.
    • Ideation, design, and execution of next-generation investment management capabilities.
    QualificationsRequired
    • B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field).
    • Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).
    • Exceptional skills in prompt engineering, assessing use cases for agentic feasibility, and converting complex workflows into logical, step-by-step tasks.
    • Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).
    • Strong track record of innovation and problem-solving to find creative technical solutions to new and unforeseen business problems.
    • Ability to travel to support deployments across the global organization.
    • Strong communication skills, with the ability to synthesize complex AI and investment concepts for diverse audiences.
    • 5+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.
    Preferred
    • M.S. or Ph.D. in a quantitative discipline.
    • Leadership experience driving technology and investment teams.
    • 3+ years developing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).
    • 10+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.
    • Experience with advanced retrieval-augmented generation and multi-agent systems.
    • Certifications such as: Databricks Certified Generative AI Engineer Associate, SnowPro Specialty: Gen AI, AWS Certified Machine Learning Engineer – Associate, AWS Certified Machine Learning – Specialty.
    • CFA charterholder or active candidate.
    Work Flexibility

    This role is eligible for hybrid work, with up to one day per week from home.

    Commitment to Diversity, Equity, and Inclusion:

    At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.

    T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

    At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

    Investment AI Solutions Analyst employer: T. Rowe Price

    At T. Rowe Price, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As an Investment AI Solutions Analyst, you will be at the forefront of integrating cutting-edge AI technologies into investment strategies, collaborating with top-tier professionals in a culture that values diversity and continuous learning. With opportunities for professional growth and a hybrid work model, you can expect to make a meaningful impact while enjoying a supportive workplace that champions your success.
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    Contact Detail:

    T. Rowe Price Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Investment AI Solutions Analyst

    ✨Tip Number 1

    Network like a pro! Reach out to folks in the investment and AI space, especially those at T. Rowe Price. Use LinkedIn or industry events to connect and chat about your passion for AI in investment management.

    ✨Tip Number 2

    Show off your skills! Prepare a portfolio of projects that highlight your expertise in AI systems and investment strategies. This will give you a leg up when discussing how you can contribute to the team.

    ✨Tip Number 3

    Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about AI and investment management. Make sure you can confidently explain complex concepts in simple terms.

    ✨Tip Number 4

    Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining T. Rowe Price and being part of our innovative team.

    We think you need these skills to ace Investment AI Solutions Analyst

    Investment Knowledge
    AI Systems Design
    Programming (R or Python)
    Agentic AI Systems (LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph)
    Prompt Engineering
    Data Modeling
    Data Processing
    Data Integration
    Data Analytics
    Financial Modelling
    Portfolio Construction
    Trading Workflows
    Communication Skills
    Stakeholder Management
    Problem-Solving Skills

    Some tips for your application 🫡

    Tailor Your Application: Make sure to customise your CV and cover letter for the Investment AI Solutions Analyst role. Highlight your experience with AI systems and investment management, showing us how your skills align with what we're looking for.

    Showcase Your Technical Skills: We want to see your programming prowess! Be sure to mention your expertise in languages like R or Python, and any experience you have with agentic AI systems. This is your chance to shine!

    Demonstrate Your Problem-Solving Abilities: In your application, share examples of how you've tackled complex investment challenges using innovative solutions. We love seeing creativity in action, especially when it comes to AI and investment workflows.

    Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at T. Rowe Price.

    How to prepare for a job interview at T. Rowe Price

    ✨Know Your AI Inside Out

    Make sure you’re well-versed in the latest AI technologies and frameworks relevant to investment management. Brush up on your knowledge of agentic AI systems, as well as programming languages like R or Python. Being able to discuss how these tools can enhance investment processes will show that you’re not just familiar with the concepts but can also apply them effectively.

    ✨Build Relationships Before the Interview

    Start networking with current employees or stakeholders at the company. Understanding their investment frameworks and decision-making approaches can give you valuable insights. This will not only help you tailor your responses during the interview but also demonstrate your proactive approach to building relationships.

    ✨Prepare for Technical Questions

    Expect to face technical questions related to data modelling, analytics, and AI system design. Prepare by reviewing case studies or examples where you’ve successfully implemented AI solutions in investment contexts. Being able to articulate your thought process and problem-solving skills will set you apart from other candidates.

    ✨Showcase Your Communication Skills

    Since this role involves collaborating with diverse teams, practice explaining complex AI and investment concepts in simple terms. You might be asked to present your ideas or findings during the interview, so being clear and confident in your communication will be key to making a strong impression.

    Investment AI Solutions Analyst
    T. Rowe Price
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