Analyst Quantitative Structured Finance Analytics
Analyst Quantitative Structured Finance Analytics
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Job Description
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 from two to eight people today. The Quant team builds models and analytical tools to help rating analysts to assess the credit risk of a transaction. Although some projects are global this team mostly covers North American needs.
The Role: You will be expected to adopt an iron sharpens iron attitude where the focus is on making everyone better. The ideal candidate will demonstrate quantitative skills in statistics machine learning numerical methods and software engineering. This is an Analyst level position and 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 Analyticsbased 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:
Bachelors 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 rootfinding and general optimisation techniques).
Nice to have:
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 ScikitLearn 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 nontechnical departments.
Familiarity fixed income and structured finance.
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 4000 issuers and 60000 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 muchneeded 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 techforward 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. Thats why we champion your wellness through a widerange of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
- Financial Health
- 75 401k match up to 7
- Stock Ownership Potential
- Company provided life insurance 1x salary commission
- Physical Health
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and companyprovided HSA contributions (up to $500$2000 annually) for specific plansand coverages
- Additional medical Wellness Incentives up to $300$600 annual
- Companyprovided long and shortterm disabilityinsurance
- Emotional Health
- TrustBased Time Off
- 6week Paid Sabbatical Program
- 6Week Paid Family Caregiving Leave
- Competitive 824 Week Paid Parental Bonding Leave
- Adoption Assistance
- Leadership Coaching & Formal MentorshipOpportunities
- Annual Education Stipend
- 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
$73000..00 USD AnnualBonus Target
10.2If 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.
Morningstars hybrid work environment gives you the opportunity to work remotely and collaborate inperson each week. While some positions are available as fully remote weve found that were at our best when were purposely together on a regular basis typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are youll have tools and resources to engage meaningfully with your global colleagues.
R06DBRSInc DBRS Inc. US Legal EntityRequired Experience:
IC
Employment Type
Full-Time
