Principal Data Scientist at Citizens Bank

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

194000.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Credit Risk Modeling, Econometric Modeling, Predictive Modeling, Statistical Analysis, Machine Learning, Python, R, SQL, SAS, AWS RedShift, Time Series Analysis, Regression Analysis, Data Imputation, Git, Shell Scripting, Cloud Computing

Industry

Financial Services

Description

Senior Data Scientist Boston, Massachusetts Citizens Financial Group, Inc. (CFG) seeks a Senior Data Scientist for its Boston, Massachusetts location. Duties: Analyze credit risk valuation models, correlations, concentrations, rating migrations, and risk contributions. Develop econometric models built on solid conceptual foundation that supports business needs. Work with business line partners in embedding and socializing econometric models and support with on-going requests. Analyze commercial lending portfolios to review trends that support applications models. Explore large data sets using advanced statistical and modeling tools and pull datasets directly from source systems. Work with appropriate parties to resolve or remediate data quality issues. Maintain, review, and adhere to organization’s credit policy. Conduct constant monitoring and validation of underlying credit theories and methodologies. Support implementation of developed models, including third party vendor solution tools for credit risk and other applications. Participate in peer review sessions and maintain awareness of new advances in credit risk modeling techniques to ensure the application of best practices to CFG credit risk models. Maintain technical documentation of developed models and model implementations. Troubleshoot implemented models in both internal and third-party vendor solutions. Requirements: Master’s degree in Physics, Data Analytics, or related quantitative field and two (2) years of experience in the role or in a related position. Full term of experience must include: Utilizing relational databases, statistical analysis programming languages, and software, including SAS Enterprise Guide, SQL, R, Stata, AWS RedShift and Python, to extract high volume and complex data from external databases, including Oracle; Performing exploratory data analysis in Datalake using Python & R; Developing predictive models by implementing data analysis and research, including time series analysis, regression analysis, categorical analysis, machine learning methods, advanced econometric techniques related to panel data analysis, and data imputation; Utilizing the underlying mathematical principles behind statistical methods to evaluate and interpret the results of predictive models in a reasonable manner; Utilizing advanced statistical programming and visualization software, including SAS, Python, R and , to create complex reports and graphs; Building back testing and benchmarking tools to monitor model performance in accordance with established ALM policy; Implementing complex computational methods and models using R, SAS and Python; Standardizing, harmonizing, cleaning, preparing, and using data for developing datasets, reporting and analysis; Utilizing SQL Tools including Oracle and SQLite; Building pilot solutions and performing proof of concept for business problems using technologies including Graph Databases; Utilizing distributed computing and cloud software, including Amazon Web Services and Sage Maker; Utilizing version control tools, including Git, to develop reproducible code; Utilizing Command line interface and Shell Scripting languages to optimize workflows; Utilizing Package Version management software, including Anaconda; Utilizing IDEs, including VS Code, RStudio, Jupyter, and JupyterLab; and Utilizing Documentation tools, including LATEX and RMarkdown. May telecommute from any U.S. location. Worksite: 28 State Street, Boston, Massachusetts 02109, United States, 40 hrs/wk. Salary Range: $156,000 - $194,000/yr. EO employer. Direct applicants only. To apply visit https://jobs.citizensbank.com (Job ID: 47475) or email resume and cover letter to Recruiting@Citizensbank.com with subject line: 47475. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Equal Employment and Opportunity Employer Job Applicant Data Privacy Policy [https://jobs.citizensbank.com/Job-Applicant-Privacy-Policy] Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Responsibilities

Develop and analyze econometric and credit risk valuation models to support business needs and commercial lending portfolios. Monitor model performance, maintain technical documentation, and collaborate with business partners to embed these models into operations.