Data Science Summer Intern
Chicago/en-US/Americas/job/Chicago/Data-Science-Summer-Intern_REQ-008754-2/apply
The Group:nbsp;Morningstars 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
Internship Program:nbsp; Spend your summer working with an
interdisciplinary team of researchers, technologists, engineers, product
owners, and data scientists that focus on developing innovative models
and cutting-edge investment tools. You will employ the best
methodologies and techniques to large amounts of data while gaining
professional insights about the quantitative research and financial
product development. You are a self-starter and inquisitive. You are
always willing to learn new techniques and experiment with various
technologies. You know your way around data and can work alongside our
data ninjas. You will improve or build new products by implementing and
developing algorithms. The synthesis of your analysis will provide
valuable investment insight for individuals, advisors, and asset
managers. Minimum qualifications: * Currently pursuing a PhD in computer
science, statistics, applied math, economics, operations research or
similar quantitative fields. * Must be enrolled in a full-time degree
program within the US. * Experience with relational (MySQL, MSSQL,
Athena) databases. * Experience using scripting and statistical
programming languages (Python, R, bash or similar). Preferred
qualifications: * Expected graduation date in Fall 2018 or Spring/Summer
of 2019. * Knowledge and practical experience with machine learning,
text and data mining, optimization, deep learning, and/or econometrics.
- Experience and familiarity with XML, relational, and file-based
databases (MySQL, Athena, S3) * Experience with statistical data
analysis such as linear models, multivariate analysis, hypothesis
testing, anomaly detection, etc. * Experience with data visualization is
a plus (e.g. Tableau, Shiny, d3) * Experience with Big Data platforms
such as Hadoop, AWS, H2O, Spark * Strong research-oriented resume and
publication records. Morningstar is an equal opportunity employer. nbsp;
001_MstarInc Morningstar Inc. Legal EntityPosted YesterdayFull
timeREQ-008754 How to Apply for a Job at Morningstar Step 1 When you
find a position you're interested in, click the 'Apply' button. Please
fill out this form completely, attaching your resume and cover letter in
the approved format.nbsp; Read the job requirements carefully and make
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submit their resume and other information through our corporate website
to be considered for a job at Morningstar. No phone calls, please. Step
2 You will receive an email notification to confirm that we've received
your application. Step 3 If you are called in for an interview, a
representative from Morningstar will contact you to set up a date, time,
and location. Be prepared for a rigorous interview process. To make sure
you're a good fit for Morningstar and we're a good fit for you, we'll
schedule time for you to meet with multiple staff members at all levels
of the company. Expect to return for multiple interviews as part of the
process. A representative from Morningstar will contact you with the
results of your intervieweither with a job offer or to let you know our
plans for the position. Applicants With Disabilities Who Need
Accommodation Morningstar is committed to working with and providing
reasonable accommodation to individuals with disabilities. If, because
of a medical condition or disability, you need a reasonable
accommodation for any part of the employment process, please call +1 312
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and location of the open position youre interested in when you leave a
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