Morningstar
Overview
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Data Scientist
role at
Morningstar . Get AI-powered advice on this job and more exclusive features. 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 position, you will 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 Chicago office and be part of revolutionizing investment research in the financial industry. We follow a hybrid policy with a minimum of 3 days onsite. 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, including RAG, 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-tuning large language models, vector databases, LangChain, LangGraph, Autogen, and prompt engineering. Proficiency in Python and 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. Compensation And Benefits
Morningstar offers a range of programs to support health and well-being across personal and professional life. Examples of the offerings include: Financial Health
75% 401k match up to 7% Stock Ownership Potential Company provided life insurance - 1x salary + commission
Physical Health
Comprehensive health benefits (medical/dental/vision) with potential premium discounts and company-provided HSA contributions Wellness incentives and disability insurance
Emotional Health
Trust-Based Time Off Paid sabbatical and family caregiving leave options Parental bonding leave and adoption assistance Leadership coaching & mentorship Annual education stipend and tuition reimbursement
Social Health
Charitable matching gifts, volunteering days, and employee resource groups
Total Cash Compensation Range $87,000.00 - 147,900.00 USD annual. This includes base salary and target incentive. Morningstar’s hybrid work environment allows remote work with in-person collaboration typically three days per week. Other benefits are available to enhance flexibility as needs change. Effective date: current posting for Morningstar Inc. Legal Entity. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Referrals increase your chances of interviewing at Morningstar by 2x
#J-18808-Ljbffr
Join to apply for the
Data Scientist
role at
Morningstar . Get AI-powered advice on this job and more exclusive features. 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 position, you will 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 Chicago office and be part of revolutionizing investment research in the financial industry. We follow a hybrid policy with a minimum of 3 days onsite. 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, including RAG, 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-tuning large language models, vector databases, LangChain, LangGraph, Autogen, and prompt engineering. Proficiency in Python and 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. Compensation And Benefits
Morningstar offers a range of programs to support health and well-being across personal and professional life. Examples of the offerings include: Financial Health
75% 401k match up to 7% Stock Ownership Potential Company provided life insurance - 1x salary + commission
Physical Health
Comprehensive health benefits (medical/dental/vision) with potential premium discounts and company-provided HSA contributions Wellness incentives and disability insurance
Emotional Health
Trust-Based Time Off Paid sabbatical and family caregiving leave options Parental bonding leave and adoption assistance Leadership coaching & mentorship Annual education stipend and tuition reimbursement
Social Health
Charitable matching gifts, volunteering days, and employee resource groups
Total Cash Compensation Range $87,000.00 - 147,900.00 USD annual. This includes base salary and target incentive. Morningstar’s hybrid work environment allows remote work with in-person collaboration typically three days per week. Other benefits are available to enhance flexibility as needs change. Effective date: current posting for Morningstar Inc. Legal Entity. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Referrals increase your chances of interviewing at Morningstar by 2x
#J-18808-Ljbffr