The Group: Morningstar, Inc.’s mission is to empower investor success. We were founded on the simple idea that when people have good investment information, they make better choices that lead to better outcomes.  The Investment Management group consists of our Managed Portfolios and Workplace solutions teams. Within Morningstar Investment Management, LLC, the Workplace group offers a range of retirement solutions, including managed accounts, custom models, and advice service by acting in a fiduciary capacity or as an independent financial expert, as defined by ERISA: IFE, 3(28), or 3(21) capacity. The flagship product is our Morningstar Retirement Manager which provides personalized advice on how much to save for retirement, asset allocation advice, and builds portfolios for individual investors. The Workplace team consists of the investment management team, the research team, the advice engines team, the operations team, and the client services team. The goal of these teams is to work together to provide investment solutions for the individual investor’s retirement goals.

The Role: 
Morningstar is seeking a Quantitative Analyst to join our team of product management professionals. This person will work across our Managed Accounts platforms, Wealth Forecasting Engine (WFE), and Retirement Planning tools. You will collaborate with research, development, and QA teams to ensure successful product support & enhancements. If you are looking to apply your technical & analytics skills towards the development of differentiated automated investing solutions such as Robo-Advice and Investment Advice, this may be the position for you. This position reports to Manager, Workplace Solutions.
Key Responsibilities:
•    Integrate proprietary research and financial planning 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.
•    Develop an in-depth understanding of the WFE, its underlying methodologies and implementations.
•    Support internal and external clients through product demonstrations, troubleshooting, methodological proofs, and timely communication.
•    Translate product or functional requests from internal and external clients into detailed written specifications and user stories.
•    Develop automated scripts in R/Python/SQL to improve efficiency of current business processes.
•    Build dashboards to support Quality Checks(interactive/automated/visual) that improve the interpretability of models 
•    Performing independent validation and review of all models including back end data points.
Requirements:
•    Demonstrated skill (2-3 yrs.) automating processes using Python /R & experience to numerical computation packages (pandas, scipy, numpy).
•    Good experience of relational database systems & using SQL/stored procedures to extract data.
•    Experience practicing investment planning methodologies (tax modelling, capital markets assumptions, strategic asset allocation, tax-optimized asset location, goal planning, etc.) or related experience in investment management, insurance domain.
•    Demonstrated ability to visualize data using Python/MATLAB/ R.
•    Some knowledge and willingness to learn statistical models (e.g. Regression, forecasting, optimization, Monte Carlo simulations, etc.). Ability to implement basic hypothesis testing.
•    Understanding of both business and technical requirements, and the ability to serve as a conduit between product, research, technology, and external clients. 
•    Excellent English-language oral and written communication.
Bachelor’s degree in finance, economics, mathematics, engineering, computer science or related field is required. A Master’s degree or CFA are all highly desired.  
Morningstar is an equal opportunity employer.

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.