Lead Quantitative Analyst
The Group:
Morningstar's Quantitative Research Group creates independent investment research and data-driven analytics designed to help investors discover relevant catalyzing insights that can be relied upon and deliver them efficiently. We utilize statistical rigor and large data sets to inform the methodologies we develop. Our research encompasses hundreds of thousands of securities within a large breadth of asset classes including equities, fixed income, structured credit, and funds. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors' interests is the foundation of our company.
The Role:
As a Lead Quantitative Analyst, you will be a highly visible representative of our quantitative research team. In this role you will be analyzing large data sets and condensing complex information into concise, relevant, and easy to communicate results. You will assist in the implementation and maintenance of statistical software applications, research databases, and other data products. In addition, you'll be responsible for creating original investment research that helps investors. A successful candidate will have impeccable interpersonal and communications skills, a solid quantitative mindset, and a strong understanding of finance. This position is based in our Chicago office.
Responsibilities:• Faithfully represent the work of the quantitative research team to internal stakeholders and external clients• Generate original investment research with the goal of improving outcomes for our clients• Assist in the development of production applications that incorporate numerical techniques such as linear algebra, machine learning, statistics, and optimization.• Become a subject-matter expert in multiple investment topics such as equities, fixed income, mutual funds, exchange-traded funds, etc., as well as Morningstar's proprietary methodology and data points.
Requirements:• A Masters or PhD in quantitative or financial discipline• Extensive experience applying econometric models to financial data• Minimum 5 years of experience in investment management or portfolio management• Excellent written and oral communication skills• Proficient in at least one statistical modeling language (R or Python)• Proficient with SQL• Meet strict deadlines and juggle various tasks while maintaining excellent attention to detail and impeccable accuracy in running and proofing analysis• Ability to work collaboratively in a team environment, while also taking ownership of projects independently with minimal supervision• Familiarity with Agile software engineering practices• Familiarity with spark is preferred• Intellectual curiosity for the world of quantitative research• Morningstar is an equal opportunity employer.
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