Investment AI Solutions Analyst at T. Rowe Price

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, LLMs, Quantitative Models, RAG, Prompt Engineering, Python, R, LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph, Financial Modeling, Portfolio Construction, Risk Analysis, Workflow Transformation

Industry

Financial Services

Description

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. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. 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 investments 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. 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 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. Build Strategic Relationships with Stakeholders Understand each stakeholder's investment framework, objectives, and investment process. Define the product roadmap, assess feasibility, and establish accountability in close partnership with stakeholders. 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 across the Investment organization. Measurable productivity gains from agentic workflows. Demonstrated contribution to improved investment results and incremental revenue generation. Ideation, design, and execution of next-generation investment management capabilities. Qualifications Required B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field). Proficiency in programming (R or Python) and familiarity with agentic AI systems and frameworks (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. 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. 1+ year developing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph). Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery). 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. 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. T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on–now, and over the long term.

Responsibilities

The analyst will architect and deploy agentic AI systems integrating LLMs and quantitative models to enhance investment processes from research to risk analysis. This involves guiding cross-functional teams to build autonomous systems that reason and act in collaboration with human investors to drive superior outcomes.