Full-Time

Analyst – Quantitative Structured Finance Analytics

Confirmed live in the last 24 hours

Morningstar

Morningstar

10,001+ employees

Provides independent investment research and data

Data & Analytics
Financial Services

Compensation Overview

$73k - $97kAnnually

+ Bonus Target 10.2%

Junior, Mid

Company Does Not Provide H1B Sponsorship

Chicago, IL, USA + 1 more

More locations: New York, NY, USA

Hybrid work environment requires in-office presence typically three days each week.

Category
Quantitative Analysis
Quantitative Research
Quantitative Finance
Required Skills
Python
R
MATLAB
C#
C/C++
Data Analysis

You match the following Morningstar's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s degree in mathematics, engineering or physics.
  • 0 to 3 years of investment research / rating agencies experience with emphasis on fixed income research / analysis, credit modelling.
  • Coding skills in a major programming language (Python, C/C++ or C#) or R / MATLAB.
  • Knowledge of probability theory, numerical analysis and stochastic calculus.
  • Knowledge of numerical methods (numerical integration, Monte Carlo simulation, root-finding and general optimisation techniques).
Responsibilities
  • Support rating methodology development and participate in the implementation of quantitative models such as credit predictive models.
  • Maintain and enhance proprietary Python and R libraries related to model building.
  • Leverage structured and unstructured datasets to build new Quant frameworks to assist analysts in informed decision making.
  • Assisting development of Analytics-based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference), validation.
  • Participate in analyst conversations for understanding ongoing analyst issues.
Desired Qualifications
  • CQF or postgraduate degree in quantitative finance, economics, mathematics, statistics is highly desired.
  • Exposure to main Python packages for numerical computing and Machine Learning / Data Science (NumPy, Pandas, Scikit-Learn and SciPy).
  • Ability to perform rigorous data analysis on large datasets.
  • Experience developing applications on cloud (AWS preferably).
  • Understanding of both business and technical requirements, and the ability to serve as a conduit between technical and non-technical departments.
  • Familiarity fixed income and structured finance.

Morningstar provides independent investment research and data to help individual investors, financial advisors, and asset managers make informed investment decisions. The company offers subscription-based access to a vast database of investment information, analytics, and tools through platforms like Morningstar Advisor Workstation, Morningstar Office Cloud, and Morningstar Cloud. Morningstar differentiates itself from competitors by focusing on Environmental, Social, and Governance (ESG) investing, especially after acquiring Sustainalytics, which enhances its ESG data and analytics offerings. The company's goal is to empower investors with the information they need to achieve their financial objectives while promoting sustainable investment practices.

Company Size

10,001+

Company Stage

IPO

Total Funding

$88.5M

Headquarters

Chicago, Illinois

Founded

1984

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for ESG data due to EU regulatory changes benefits Morningstar.
  • The Direct Advisory Suite captures a larger share of the financial advisor market.
  • Methodology change in Medalist Rating system increases trust in Morningstar's ratings.

What critics are saying

  • Commodity Data acquisition by ZEMA may lead to loss of proprietary data resources.
  • Changes in Medalist Rating system could cause client dissatisfaction or confusion.
  • Direct Advisory Suite may face integration challenges or competition from established platforms.

What makes Morningstar unique

  • Morningstar's acquisition of Sustainalytics enhances its ESG data and analytics offerings.
  • The Direct Advisory Suite modernizes software solutions for financial advisors.
  • Morningstar's partnership with Lang Cat's Analyser strengthens its managed portfolio services.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Unlimited Paid Time Off

Sabbatical Leave

401(k) Retirement Plan

401(k) Company Match

Paid Sick Leave

Parental Leave

Adoption Assistance

Hybrid Work Options

Stock Options

Professional Development Budget

Tuition Reimbursement

Mentorship Program

Employee Referral Bonus

Company Social Events

Company News

Financial Post
Jan 13th, 2025
Morningstar Launches Direct Advisory Suite, a Powerful, Modernized Software Solution for Financial Advisors

CHICAGO - Morningstar, Inc. (Nasdaq: MORN), a leading provider of independent investment insights, today introduced Direct Advisory Suite, a modern software application for financial advisors and investment professionals.

Stock Titan
Nov 26th, 2024
Morningstar DBRS Names Richard Sibthorpe Head of Canada

Morningstar DBRS has appointed Richard Sibthorpe as Head of Canada and Global Investor Strategy, succeeding Douglas E. Turnbull who retired in September.

FTF News
Nov 16th, 2024
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Sustainalytics
Oct 7th, 2024
Morningstar Bolsters EU Sustainable Finance Action Plan Suite

As an extension of its EU Sustainable Finance Action Plan Solutions Suite, Morningstar Sustainalytics has launched a new Corporate Sustainability Reporting Directive (CSRD) aligned data offering which maps Sustainalytics data to emerging regulatory reporting requirements, a dedicated resource to support alignment with a new ESMA Fund Naming Rules Solution and the next iteration of its EU Taxonomy solution enhancing coverage, quality and presentation of its ESG data.

California Commerce Daily
Sep 23rd, 2024
ZEMA Global Data Corporation to Acquire Morningstar Commodity Data

ZEMA Global Data Corporation to acquire Morningstar Commodity Data.