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Assistant Vice President, Quant Credit Modelling, Structured Finance Analytics

Morningstar
Posted a month ago, valid for 15 days
Location

New York, NY 10008, US

Salary

$300 - $600 per day

Contract type

Full Time

Life Insurance
Tuition Reimbursement

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Sonic Summary

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  • Morningstar DBRS is seeking a Quant Analyst with 4 to 7 years of experience in investment research, structured products, or credit modeling.
  • The position involves executing proprietary research and building credit rating models for various asset classes, primarily focusing on US needs.
  • Candidates should possess a postgraduate degree in a quantitative field and strong coding skills in languages such as Python or R.
  • The base salary for this role ranges from $97,854 to $157,938, with an annual incentive target of 20%.
  • Morningstar DBRS offers a hybrid work environment and a comprehensive benefits package that promotes wellness and professional development.

Morningstar DBRS is a global credit ratings business, formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of credit ratings in the world. Morningstar DBRS is committed to empowering investor success, serving the market through leading-edge technology and raising the bar for the industry. Morningstar DBRS is a market leader in Canada, the U.S. and Europe in multiple asset classes.

About the Team: The Structured Finance Analytics Team is composed of a Quant team, a Data Analytics team, a Solutions team, and a Cashflow Modelling team. The Quant team has been growing over the last few years and is now composed of 13 analyst. The Quant team builds models and analytical tools to help rating analysts assess the credit risk of a transaction. Although some projects are global, this team mostly covers US needs. 

The Role: As a Quant Analyst, you will execute proprietary research for building various types of credit rating models, such as factor models and predictive models covering asset classes of ABS, CMBS, Covered Bond, RMBS and Structured Credit. The Structured Finance Ratings Modeling team will collaborate with members from the Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class leading models that are as innovative as they are easy to understand in the marketplace. 

You will be expected to adopt an "iron sharpens iron" attitude where the focus is on making everyone better and demonstrating the ability to collaborate with rating analyst, credit practices and tech teams. The ideal candidate will demonstrate quantitative skills in statistics, machine learning, numerical methods and software engineering. This position reports to the Associate Managing Director who leads the team. 

 

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. 

Requirements: 

  • Postgraduate degree in mathematics, quantitative finance, financial engineering, statistics or physics is highly desired.

  • 4 - 7 years of investment research , structured products, asset backed finance, credit modelling or rating agencies experience with emphasis on fixed income research / analysis

  • Coding skills in a major programming language (Python, C/C++ or C#) or SAS / R / MATLAB. 

  • Strong Knowledge of probability theory, numerical analysis and stochastic calculus. 

  • Strong Knowledge of numerical methods (numerical integration, Monte Carlo simulation, root-finding and general optimisation techniques). 

  • At least 2 years of experience in US RMBS defaults and losses modelling. Other asset classes within Structured Finance (ABS, CLOs) are also acceptable.

Nice to have: 

  • Ability to perform rigorous data analysis on large datasets. 

  • Exposure to main Python packages for numerical computing and Machine Learning / Data Science (NumPy, Pandas, Scikit-Learn and SciPy).

  • 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. 

At this time, we’re not considering candidates who require sponsorship now or in the future

About Us
Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world.

Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service.

Morningstar DBRS is the next generation of credit ratings.

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:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • 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 Leave

    • Adoption Assistance

    • Leadership Coaching & Formal Mentorship Opportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health 

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Base Salary Compensation Range

$97,854.00 - 157,938.00 USD Annual

Incentive Target Percentage

20% Annual

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.

R06_DBRSInc DBRS, Inc. - US Legal Entity



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