Investment AI Solutions Analyst in London

Investment AI Solutions Analyst in London

London Full-Time 36000 - 60000 £ / year (est.) On-site
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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.
  • Other info: Collaborate with top analysts and shape the future of investment strategies.
  • 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.

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.

Investment AI Solutions Analyst in London employer: T. Rowe Price

T Rowe Price is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Quant Developer role in Baltimore/London. Employees benefit from meaningful work that directly impacts investment decisions, alongside ample opportunities for professional growth and development within a supportive team environment. With a focus on leveraging both technology and financial expertise, T Rowe Price empowers its employees to think creatively and contribute their unique perspectives, making it a rewarding place to advance your career.

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Contact Details:

T. Rowe Price Recruitment Team

StudySmarter Expert Advice🤫

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

✨Get Involved in Finance Communities

Join investment and asset management forums or local finance meetups. Engaging with professionals in these circles can not only help you learn the ropes but also put you in touch with potential employers like T. Rowe Price, who often scout for talent at such events.

✨Utilise Networking Platforms

Connect with professionals already working in asset management on platforms like LinkedIn. A personal message showing your interest in their role or asking for advice can lead to significant connections that might tip the scales in your favour at companies like T. Rowe Price.

✨Show Off Your Financial Skills

Consider contributing to investment blogs or even creating your own content. Sharing your insights and analyses can demonstrate your knowledge and passion for the industry, making you stand out when applying for roles at organisations like T. Rowe Price.

✨Engage with Recruitment Events

Attend finance recruitment fairs and expos. These events are perfect for making a strong impression with recruiters and potentially securing interviews. Many companies, including T. Rowe Price, attend these events to scout for fresh talent, so make sure you stand out with your enthusiasm and knowledge!

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

Investment Knowledge
AI Systems Design
Programming Languages (R, Python)
Agentic AI Systems (LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph)
Prompt Engineering
Data Modeling
Data Processing

Some tips for your application 🫡

Highlight Your Analytical Skills:In asset management, it's all about the numbers! Make sure your CV showcases your analytical skills, particularly any experience with financial modelling or quantitative analysis. Employers like T. Rowe Price want to see how you can dissect data and turn it into actionable insights, so don't hold back on your achievements!

Show Off Your Relevant Qualifications:Having the right qualifications can be a game changer in investment roles. If you've got a degree in finance, economics, or a related field, flaunt it! Also, if you have any certifications like CFA or CAIA, mention those too. It’ll help demonstrate your commitment and expertise in the field to T. Rowe Price.

Tailor Your Cover Letter to Reflect Passion for Investment:Your cover letter is your chance to express your enthusiasm for the investment world. Share why you're drawn to asset management and your understanding of market trends. The hiring team at T. Rowe Price will be keen to see that passion and how you keep up with industry news and developments.

Quantify Your Achievements:Don’t just tell them what you did - show them! When detailing your previous experience, include quantifiable achievements to illustrate your impact. Whether it’s percentage growth on a portfolio or cost savings in a project, these figures will help your application stand out to T. Rowe Price. Numbers speak louder than words!

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

✨Brush Up on Financial Modelling

For a role in investment asset management, being well-versed in financial modelling is crucial. Make sure you can articulate your experience with tools like Excel or any specialised software you've used. Maybe even prepare a couple of examples of financial models you've built or analysed.

✨Know Your Investment Strategies

Expect questions around different investment strategies and how you would apply them in various market scenarios. Get ready to discuss current market trends and how they impact portfolio management. This shows you're not just about the theory but also keeping an eye on real-world applications.

✨Show Your Analytical Skills

Since this is a full-time role, companies like T. Rowe Price want to see your analytical thinking in action. Prepare to solve case studies or tackle some numerical puzzles during the interview. Practicing these types of questions will boost your confidence and show off your skills.

✨Discuss Your Long-Term Career Goals

As you’re applying for a full-time position, the interviewers will be interested in your commitment to the field. Be ready to discuss how this role fits into your long-term career plans in asset management. This shows you're not just looking for any job, but you’re genuinely interested in growing withT. Rowe Price.