Data Scientist
Data Scientist
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Job Description
Role Name: Data Scientist/ Sr.Data Scientist
The Group: Morningstars Quantitative Research Group is a leading independent provider of investment research and datadriven analytics aimed at empowering investors and Morningstar with better decisionmaking 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 youll 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 cuttingedge research to develop innovative AIdriven 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 Morningstars diverse datasets and intellectual property spanning multiple asset classes.
Act as a subjectmatter expert driving the adoption and implementation of AI solutions across Morningstars business units.
Requirements:
Minimum 3 years of handson experience implementing AI/machine learning solutions including RAG NLP AI Agents and transformer models in commercial applications.
Advanced degree (Masters/PhD preferred) in a quantitative AI or computational field such as Data Analytics Computer Science Machine Learning/AI Mathematics Physics or Statistics.
Expertise in finetuning large language models vector databases LangChain LangGraph Autogen and prompt engineering.
Proficiency in Python and SQL with the ability to write productionquality 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 nontechnical stakeholders.
Familiarity with Investment Management particularly Morningstars mutual fund fixed income and equity databases.
Excellent organizational and multitasking skills to manage multiple projects in a fastpaced environment.
Passion for building AIdriven products and excelling in the Investment Management domain.
Morningstars hybrid work environment gives you the opportunity to work remotely and collaborate inperson each week. Weve found that were at our best when were 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 youll have tools and resources to engage meaningfully with your global colleagues.
301MstarEurLtd Morningstar Europe Ltd (UK) Legal EntityEmployment Type
Full-Time
