Quantitative Analyst Quantitative Analyst …

Morningstar
in Chicago, IL, United States
Permanent, Full time
Last application, 19 Feb 21
Competitive
Morningstar
in Chicago, IL, United States
Permanent, Full time
Last application, 19 Feb 21
Competitive
Quantitative Analyst
Quantitative Analyst Chicago/en-US/Americas/job/Chicago/Quantitative-Analyst_REQ-018434-1/apply

The Advice Engines Quantitative Analysts are highly visible representatives of our Advice Engines Product Team. The Quantitative Analysts analyze large data sets and condense complex information into concise, relevant, and easy to communicate results. They assist in the implementation and maintenance of statistical software applications, research databases, and other data products. In addition, they are responsible for creating original investment research that empower investor success.

Responsibility:

Integrate proprietary research and asset allocation concepts into a global set of advice engines by working closely with Morningstar research, product managers, and developers to bring intellectual property and new methodology to market
Familiarity with Numerical optimization techniques and Monte Carlo approaches to asset allocation analysis
Present results to audiences with varied technical backgrounds: other team members, sales organization members, and advisors
Contribute unique ideas, insights, expertise and experience to other research projects through formal and informal collaboration
Faithfully present 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 vehicles such as equities, fixed income instruments, mutual funds, exchange-traded funds, etc., as well as Morningstars proprietary methodology and data points

Requirements:

A bachelors degree in science, engineering, finance, or math is required. A bachelors degree in math/statistics is preferred
Strong attention to detail, excellent verbal, written, and analytical skills
Ability to multi-task and manage several projects at any given time
Ability to collaborate, act as a team player, communicate across various layers of the organization, and work in cross-functional distributed teams
Proficiency in statistical modeling language (R or Python) as well as SQL
Expertise in Morningstar's mutual fund, fixed income, and equity databases
Expert level proficiency in Microsoft Excel (including use of macros and VBA programming)
Expertise and in statistical methods and modelling
Preferably >3 years experience in multi-asset research and portfolio management in investment industry
Good experience of software engineering and writing scalable, performance efficient codes using Python, MATLAB, R.
Familiarity with portfolio construction, asset allocation, Capital Market Assumptions, factor modelling, risk and return attribution, asset return forecasting, portfolio optimization, Monte Carlo simulation.
Working knowledge of the how advisors/wealth managers provide advice and solve common investor problems: accumulation, retirement income.
Strong command of foundations of applied and theoretical statistics, linear algebra and vector manipulation, and machine learning techniques
Understanding of the nuances and pitfalls of common models and modeling approaches, such as analyzing time-series based data vs. other types
Proficiency in statistical modeling language (R or Python) as well as SQL
Expertise in Morningstar's mutual fund, fixed income, and equity databases
Expert level proficiency in Microsoft Excel (including use of macros and VBA programming)
Expertise and in statistical methods and modelling

002_MstarAssocLLC Morningstar Investment Management LLC Legal EntityPosted 9 Days AgoFull timeREQ-018434

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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. Read the job requirements carefully and make sure to attach writing or design samples as required. Applicants must 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.

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