Data Scientist at Citizens

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

135000.0

Posted On

29 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, R, Apache Kafka, Apache Spark, PySpark, Hadoop, AWS Redshift, Tableau, PowerBI, Data Mining, Statistical Analysis, Git, SAS, BlackRock Aladdin, QRM

Industry

Financial Services

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 Recruiting@Citizensbank.com with subject line: 47745. Direct applicants only. 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 maintain balance sheet forecasting models and analyze portfolio characteristics and customer behavior. Collaborate with risk management teams to facilitate model validations and provide analytical support for liquidity decisions.