The Group: Morningstar’s Quantitative Research Group is a leading independent provider of investment research and data-driven analytics aimed at empowering investors and Morningstar with better decision-making capabilities. We leverage advanced statistical techniques and extensive data sets to develop innovative methodologies. Our research spans diverse asset classes, including equities, fixed income, structured credit, and funds. Morningstar is globally renowned for its comprehensive fund, equity, and credit data and research, and we are committed to prioritizing investors’ interests at the core of our operations.
The Role:
Are you passionate about leveraging large language models to enhance investment management practices? Join our team as a Data Scientist, where you will play a prominent role in our quantitative research endeavors. In this exciting position, you'll analyze massive data sets and distill complex information into concise and valuable offerings for investors. Your responsibilities will involve the development of machine learning applications, exploring language models, and other data products. Additionally, you will create original investment research content that drives better outcomes for our clients. If you possess exceptional interpersonal, communication, and machine learning skills, coupled with a strong quantitative mindset, this is the ideal role for you. Join us in our London office and be part of revolutionizing investment research in the financial industry.
Job Responsibilities:
- Conduct cutting-edge research to develop innovative AI-driven solutions that enhance client outcomes.
- Leverage advanced large language models, including multimodal models and vector embeddings, to continuously improve our AI research assistant.
- Publish research papers, whitepapers, and notebooks focused on optimizing investment workflows for users.
- Identify opportunities to apply AI methodologies to enhance models and products across Morningstar’s diverse datasets and intellectual property spanning multiple asset classes.
- Act as a subject-matter expert, driving the adoption and implementation of AI solutions across Morningstar’s business units.
Requirements:
- Minimum 3 years of hands-on experience implementing AI/machine learning solutions, includingRAG,NLP,AI Agents, and transformer models, in commercial applications.
- Advanced degree (Master’s/PhD preferred) in a quantitative, AI or computational field such as Data Analytics, Computer Science, Machine Learning/AI, Mathematics, Physics, or Statistics.
- Expertise in fine-tuninglarge language models,vector databases,LangChain, LangGraph, Autogen, andprompt engineering.
- Proficiency inPythonand SQL, with the ability to write production-quality code deployable on cloud platforms.
- Demonstrated experience in deploying machine learning and deep learning algorithms into production environments.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- Familiarity with Investment Management, particularly Morningstar’s mutual fund, fixed income, and equity databases.
- Excellent organizational and multitasking skills to manage multiple projects in a fast-paced environment.
- Passion for building AI-driven products and excelling in the Investment Management domain.
Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.
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