Data Scientist/Quantitative Model with CECL & CCAR
Data Scientist/Quantitative Model with CECL & CCARContract (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 and SaaS 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 SPONSORSHIPWhat 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. Recommended Skills Data Analysis Data Science Information Technology Machine Learning Mathematics Python (Programming Language) Apply to this job. Think you're the perfect candidate? Apply on company site $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
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 and SaaS 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 SPONSORSHIPWhat 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. Recommended Skills Data Analysis Data Science Information Technology Machine Learning Mathematics Python (Programming Language) Apply to this job. Think you're the perfect candidate? Apply on company site $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
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