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Data Scientist/Quantitative Model with CECL
2 months ago
Data Scientist/Quantitative Model with CECL & CCAR
Contract (with potential for conversion to hire by end of year)
Duration: Until end of the year (CTH likely)
Preferred Location: Remote EST (occasional travel with expenses paid)
Role Description:
We are on the hunt for a dynamic Data Scientist/Quantitative Model with CECL & CCAR with a strong background in Python to join our team on a contractual basis with a strong possibility of contract to hire. The ideal candidate will be instrumental in the development of models from a production standpoint, focusing on implementing and executing CECL (Current Expected Credit Loss) and CCAR (Comprehensive Capital Analysis and Review) models.
Key Responsibilities:
- Develop, implement, and execute models for CECL and CCAR in compliance with banking regulations.
- Utilize Python for data analysis, modeling, and visualization tasks.
- Experience and knowledge with model lifecycle (development/implementation/production/monitoring) is critical at this stage, and data scientists will be more helpful at a later stage.
- Work with Software as a Service (SaaS) platforms and cloud-based services to enhance model development and deployment.
- Apply machine learning techniques, including but not limited to supervised and unsupervised learning, classification, regression, clustering, and feature engineering, to solve complex problems.
- Ensure models adhere to banking regulations and compliance frameworks.
Requirements:
- Bachelor s or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
- Strong proficiency in Python programming language, with significant experience in data analysis, modeling, and visualization.
- Proven experience working with Software as a Service (SaaS) platforms and cloud-based services.
- Familiarity with machine learning techniques, including supervised and unsupervised learning, classification, regression, clustering, and feature engineering.
- In-depth knowledge of banking regulations and compliance frameworks, particularly CECL and CCAR.
- Demonstrated ability to develop models with a focus on the production aspect.
NO THIRD PARTIES AND NO SPONSORSHIP
What We Offer:
- The opportunity to work on significant projects in the financial sector, contributing to compliance and regulatory frameworks.
- A dynamic and supportive work environment that fosters growth and learning.
- Competitive compensation, commensurate with experience.
- Flexible working arrangements with remote options.
Join and be a part of a team that values innovation and expertise in tackling the complexities of banking regulations through data science.
