Data Scientist

Citizens•Boston, MA

7d•$125,000 - $135,000•Remote

About The Position

Citizens Financial Group, Inc. (CFG) seeks a Data Scientist for its Boston, Massachusetts location. This role involves developing and maintaining models for balance sheet forecasting, utilizing data mining and segmentation analysis to understand portfolio characteristics and customer behavior. The Data Scientist will monitor model performance, communicate findings to stakeholders, and propose model enhancements. They will also analyze models affecting ALM, including prepayment, deposit balance and yield, and interest rate models. Collaboration with Model Risk Management & Validation and Market Risk Management is expected for model validations and reviews. The position supports initiatives such as balance sheet optimization, funds transfer pricing, mortgage servicing rights, and CCAR/DFAST, and involves using QRM and BlackRock (Aladdin system) for mortgage modeling and risk analysis. Analytical support will be provided to management for balance sheet and liquidity decisions, and for developing forward-looking macroeconomic and interest rate views in collaboration with Treasury.

Requirements

Bachelor’s degree in Statistics, Data Science, or closely related STEM field.
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;
Leveraging BlackRock Aladdin and QRM for quantitative modeling, risk analysis, and financial forecasting, integrating results with Python-based workflows results.

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.