Be an essential member of a diverse team of professionals dedicated to making a lasting impact! The Consumer and Business Intelligence (CBI) is a new organization dedicated to providing a comprehensive view of the financial well-being of consumers and businesses using internal and external data. As the nation's largest bank, we are uniquely positioned to influence public understanding of economic trends. In times of macroeconomic uncertainty, identifying emerging trends and economic relationships is crucial.

 

As a Data Scientist (Econometrics) on the Consumer & Business Intelligence (CBI) team, you will spearhead the analytics of consumer and business data through advanced modeling, metric development, and forecasting. In this role, you’ll collaborate with economists and the broader CBI team to shape narratives about consumer and small business health. You’ll need a deep understanding of economic theory and apply advanced statistical and machine learning techniques to analyze complex datasets, model economic relationships, and provide data-driven insights. 

 

Job Responsibilities Design, develop, and implement advanced econometric models to evaluate the impact of policies, programs, and business interventions Create schemas to model relationships and speed analytics  Collect, clean, and analyze large, often messy, datasets from various sources  Utilize statistical software and programming languages to conduct rigorous data analysis and ensure data quality and integrity Develop and deploy predictive models using a range of machine learning techniques to forecast key economic and business metrics, such as demand, market trends, and customer behavior Translate complex quantitative findings into clear, concise, and actionable recommendations for senior leadership and cross-functional teams  Create compelling data visualizations and presentations to communicate insights effectively Collaborate with product managers, engineers, and business leaders to define business problems, formulate hypotheses, and translate analytical findings into strategic decisions and product improvements Stay current with the latest advancements in data science, econometrics, and machine learning Develop and refine internal tools and frameworks to scale econometric analysis across the organization Required Qualifications, Capabilities, and Skills  Master's or Ph.D. in Economics, Econometrics, Statistics, Computer Science, or a related quantitative field 6 years’ experience working in an advanced analytical role with at least 2 years related to economic data Proficiency with statistical programming languages, particularly Python (with libraries like Pandas, NumPy, Scikit-learn) and/or R Skilled using SQL for data extraction, manipulation, and analysis Competent with data visualization tools (e.g., Tableau, Power BI)  Ability to deploy advanced methods in econometrics and quickly translate and communicate microeconomic and macroeconomic trends in consumer & business data  Robust knowledge and practical approach to market economics & econometric modeling of economic relationships  Fundamental understanding & appreciation of consumer financial health frameworks and consumer segmentation methodologies  Comprehensive knowledge of time-Series (e.g., Seasonal Decomposition, ARIMAX, VAR, ECM) and classification (e.g., Logistic regression)  Exceptional analytical and problem-solving skills with the ability to break down complex business problems into manageable analytical frameworks Excellent written and verbal communication skills to explain technical concepts to diverse audiences Preferred Qualifications, Capabilities, and Skills Familiarity with consumer and small business datasets Experience with big data environments such as Hadoop and Spark Knowledge of cloud-based platforms (e.g., AWS, GCP)  

This role is not eligible for visa sponsorship or relocation assistance