Job purpose:
- 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.
Your Responsibilities:
- 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 Morningstar’s proprietary methodology and data points.
Skills/Qualifications:
- A bachelor’s degree in science, engineering, finance, or math is required. A bachelor’s 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.
Source: for more information click here.
