Job Description

Citizens Financial Group, Inc. (CFG) seeks a Data Scientist for its Boston, Massachusetts location.

Responsibilities:
• Develop and maintain models used in balance sheet forecasting.
• Use data mining, segmentation analysis, and market analysis to analyze portfolio characteristics and customer behavior.
• Monitor model performance and communicate analytical findings and insights to internal stakeholders through comprehensive reporting.
• Propose model changes, including overlays, recalibration, redevelopment, tuning, sensitivity testing, CCAR, back testing, and fundamental driver analyses.
• Perform analysis of models that affect ALM models and behavior, including mortgage and MSR (mortgage servicing rights) prepayment, deposit balance and yield, and interest rate and term structure models.
• Collaborate with Model Risk Management & Validation, Market Risk Management, and other teams to facilitate periodic model validations and reviews.
• Propose improved approaches to loan and deposit modeling.
• Assist in developing forwardlooking macroeconomic and interest rate views while collaborating with Treasury for balance sheet management.
• Provide analytical support to management in developing strategies for balance sheet and liquidity decisions.
• Utilize QRM and BlackRock (Aladdin system) for mortgage modeling and risk analysis.
• Support initiatives including balance sheet optimization, funds transfer pricing, mortgage servicing rights, and CCAR/DFAST.

Qualifications:

Bachelor's degree in Statistics, Data Science, or closely related STEM field.

Must have the following skills gained either through education or professional experience:
• Designing and implementing robust data pipelines to provision data from various sources, ensuring timely and accurate data availability for analytics and reporting;
• Leveraging Python, including NumPy, Pandas, Matplotlib, Dask, and Scikit-learn libraries, and SQL to process, clean, and prepare data for models and business reports;
• Using R and SQL to analyze, query, and validate data across relational databases, ensuring data quality meets business requirements;
• Managing real-time data integration and provisioning using Apache Kafka to enable seamless data flow for business-critical applications;
• Developing and maintaining data solutions on big data platforms including Apache Spark, PySpark, and Hadoop, processing large-scale datasets to meet business needs;
• Implementing cloud-based data solutions using AWS Redshift to enable scalable data storage and high-performance querying for business intelligence;
• Designing and optimizing relational databases to store, retrieve, and provision structured data in accordance with business and analytics requirements;
• Utilizing Tableau and PowerBI to create customized reports and visualizations;
• Applying data mining techniques (including clustering and association) to discover trends, patterns, and anomalies in data, supporting business teams with actionable insights;
• Conducting statistical analysis and using methods such as A/B testing and regression analysis to validate and support key business initiatives;
• Ensuring smooth collaboration using Git for version control and GitHub for tracking code changes in data provisioning workflows;
• Performing data profiling tasks to ensure data from various sources is accurate, clean, and aligned with business objectives before provisioning to analytical environments;
• Maintaining continuous data provisioning using DBeaver for database interaction, enabling seamless integration with relational databases for data support;
• Leveraging SAS to automate the provisioning of datasets, ensuring data is pre-processed and ready for analysis or modeling; and
• Leveraging BlackRock Aladdin and QRM for quantitative modeling, risk analysis, and financial forecasting, integrating results with Python-based workflows results.

May telecommute from any U.S. location. Salary Range: $125,000 - $135,000.

Worksite: 28 State Street, Boston, Massachusetts 02109 United States, 40 hrs/wk. EO employer.

For summary of benefits and to apply visit our website at https://jobs.citizensbank.com (Job ID: 47745) or email resume and cover letter to [redacted] with subject line: 47745.

Direct applicants only.