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Associate Investment Decision Analyst
Associate Investment Decision AnalystMorningstar • Chicago, IL, US
Associate Investment Decision Analyst

Associate Investment Decision Analyst

Morningstar • Chicago, IL, US
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Associate Investment Decision Analyst

The Role

As an Associate Investment Decision Analyst, you will use your expertise in quantitative analytics, decision science, finance, and accounting to strengthen the systems that guide our investment decisions. Using your expertise in (behavioral) finance, accounting, and statistical modeling, you will assess existing investment research and decision-making processes, identify targeted improvements, and develop innovative, code-based solutions that push the boundaries of investment efficacy.

The Group

The Investment Decision Analytics team is an interdisciplinary group committed to enhancing investment research and decision-making across all asset classesincluding equities, fixed income, and private markets. Our mission is to empower investor success by building robust, data-driven decision support systems that guide smarter investment strategies. The Investment Decision Analytics team is part of the Behavioral Insights Group in the Research & Investments Organization at Morningstar.

Key Responsibilities

  • Actively shape and improve investment research and decision-making processes through rigorous quantitative evaluation. Propose new methodologies, algorithms, and decision support systems based on your solid understanding of investment, (behavioral) finance, accounting, and statistics.
  • Test the efficacy of your proposed / implemented methodologies and algorithms by conducting large-scale data analysis.
  • Present findings, actionable recommendations, and decision support systems to business partners and senior management.
  • Work both independently and in a team to drive business impact.

Required Qualifications

  • Bachelor's or Master's degree in statistics, data science, decision science, finance, or quantitative economics.
  • High proficiency in data science programming languages, including Python and SQL. Relevant experience with data mining and advanced analytics required (please include examples when applying). Experience with AWS and Git is a plus.
  • Strong knowledge of financial principles; background / experience in finance, accounting, or investments preferred.
  • CFA designation or active CFA candidacy is preferred.
  • Prior experience in the investment industry is a plus.
  • Excellent communication skills, a strong commitment to collaborative problem-solving, and delivering business results.
  • Compensation and Benefits

    At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide :

  • Physical Health : Comprehensive health benefits (medical / dental / vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
  • Additional medical Wellness Incentives - up to $300-$600 annual
  • Company-provided long- and short-term disability insurance
  • Emotional Health : Trust-Based Time Off, 6-week Paid Sabbatical Program, 6-Week Paid Family Caregiving Leave, Competitive 8-24 Week Paid Parental Bonding Leave, Adoption Assistance, Leadership Coaching & Formal Mentorship Opportunities, Annual Education Stipend, Tuition Reimbursement
  • Social Health : Charitable Matching Gifts program, Dollars for Doers volunteer program, Paid volunteering days, 15+ Employee Resource & Affinity Groups
  • Total Cash Compensation Range $68,775.00 - 116,900.00 USD Annual

    Inclusive of annual base salary and target incentive

    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.

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    Investment Analyst • Chicago, IL, US