Senior Quantitative Analyst Senior Quantitative Analyst …

Morningstar
in Chicago, IL, United States
Permanent, Full time
Last application, 24 Jan 20
Competitive
Morningstar
in Chicago, IL, United States
Permanent, Full time
Last application, 24 Jan 20
Competitive
Senior Quantitative Analyst
Senior Quantitative Analyst Chicago/en-US/Americas/job/Chicago/Senior-Quantitative-Analyst_REQ-015024-1/apply

The Group: Morningstars Quantitative Research team 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 Senior 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, youll 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 located 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 including market microstructure as well as Morningstars proprietary methodology and data points


Requirements:

  • A bachelors degree in quantitative or financial discipline (Masters or higher is desirable)
  • Minimum 5 years of experience in software engineering or finance
  • Excellent written and oral communication skills
  • Proficient in at least one statistical modeling language (R or Python). Experience with Python packages like pandas, scikit-learn, tensorflow, numpy is a plus
  • Proficient with SQL
  • Intermediate knowledge of statistical methods and machine learning models
  • Meet strict deadlines and juggle various tasks while maintaining excellent attention to detail and impeccable accuracy in running and proofing analysis
  • Ability to stay organized and to quickly and efficiently handle multiple projects at the same time is crucial in this role
  • 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 equity tick data is a plus
  • Intellectual curiosity for the world of quantitative research
001_MstarInc Morningstar Inc. Legal EntityPosted 2 Days AgoFull timeREQ-015024

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