Analyst, Quant, Structured Finance Analytics

Morningstar; Frankfurt; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading credit rating agency in Frankfurt is seeking a Quant Analyst to execute proprietary research and build models for credit rating assessments. The ideal candidate will have a Master’s degree in mathematics, engineering, or physics, along with quantitative skills in statistics and programming proficiency in Python or R. This role offers a hybrid work environment with competitive benefits.

Leistungen

Hybrid work environment

Flexible work benefits

Qualifikationen

• Up to 2 years of investment research or rating agency experience emphasized on fixed‑income research/analysis or credit modeling.
• Knowledge of probability theory, numerical analysis and stochastic calculus.
• Knowledge of numerical methods including Monte Carlo simulation and general optimisation techniques.

Aufgaben

• Support rating methodology development and implement quantitative models.
• Maintain and enhance proprietary Python and R libraries.
• Leverage structured and unstructured datasets for new Quant frameworks.

Kenntnisse

Quantitative skills in statistics

Machine learning

Numerical methods

Software engineering

Ausbildung

Master’s degree in mathematics, engineering or physics

Tools

Python

R

C/C++

MATLAB

Jobbeschreibung

About the role

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 grown from two to eight people in recent years and builds models and analytical tools to help rating analysts assess the credit risk of a transaction. While some projects are global, this team primarily serves European needs.

As a Quant Analyst you will execute proprietary research to build 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 collaborates with members from Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class‑leading models that are both innovative and 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. 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 that assist analysts in informed decision‑making.
• Assist in the development of analytics‑based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference) and validation.
• Participate in analyst conversations to understand ongoing analyst issues.

Requirements

• Master’s degree in mathematics, engineering or physics.
• Up to 2 years of investment research or rating agency experience with emphasis on fixed‑income research/analysis or credit modeling.
• Coding skills in a major programming language such as Python, C/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).

Nice to have

• CQF certification.
• 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 the cloud (AWS preferred).
• Understanding of both business and technical requirements, and the ability to serve as a conduit between technical and non‑technical departments.
• Familiarity with 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 worldwide. 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 greater 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 while remaining 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.

If you receive and accept an offer from us, we require that personal and any related investments be disclosed in 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, you will be required to liquidate those holdings immediately. Additionally, depending 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 have found that we are at our best when we are 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 is 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.