Job Application for Quantitative Modeling Engineering

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Position Title: Associate Director - Quantitative Modeling Engineering

Entity: KBRA Holdings, LLC

Employment Type: Full-time

Location: New York, New York, United States

Key Job Responsibilities:

Establish and lead a critical function focused on deploying, optimizing, and scaling advanced quantitative and machine learning models for credit rating decisions.
This role involves designing technical infrastructure, implementing distributed computing frameworks (e.g., Dask, Kubernetes), automating processes with Infrastructure as Code (e.g., Terraform), and developing CI/CD pipelines.
The position requires collaboration across quantitative modeling and IT teams, ensuring secure, scalable, and reliable model deployment.
Proficiency in R, Python, and cloud platforms, along with a strong understanding of financial and credit rating standards, is essential.
Telecommuting permitted within a normal commuting distance of NY office.
Must report to office 3 days per week.

Requirements:

Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Electrical Engineering, or a related quantitative or engineering discipline
3 years of experience as a Machine Learning Engineer, Data Engineer, or related role, with expertise in deploying and testing quantitative models and managing infrastructure
3 years of experience in Python and R application development, including libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, and Flask, as well as R packages like Plumber and Shiny;
3 years of experience in Data Engineering and Machine Learning Operations (MLOps), including deploying and testing code for quantitative models
3 years of experience with data engineering processes, including building and optimizing data pipelines, ETL workflows, and leveraging distributed computing frameworks such as Dask, as well as managing CI/CD pipelines and version control systems like Git
2 years of experience with cloud platforms (AWS, Azure), Infrastructure as Code tools (e.g., Terraform), containerization/orchestration tools like Docker and Kubernetes, and Linux server automation, emphasizing platform security and compliance in mission-critical environments
2 years of experience in managing platforms like Posit (formerly RStudio) or similar environments for quantitative modeling
2 years of experience utilizing quantitative skills for financial modeling and cash flow analysis
Must successfully complete competency-based interview.

Expected salary range is $125,528.00 to $150,000.00/year.

About Us:

KBRA is a full-service credit rating agency registered in the U.S., the EU and the UK, and is designated to provide structured finance ratings in Canada. KBRA’s ratings can be used by investors for regulatory capital purposes in multiple jurisdictions.

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KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law.

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Quantitative Modeling Engineering - Associate Director (NY)

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