J.P. Morgan is looking to hire a Data Scientist (Econometrics) to spearhead the analytics of consumer and business data through advanced modeling, metric development, and forecasting to provide a comprehensive view of financial well-being and influence public understanding of economic trends, especially during times of macroeconomic uncertainty.
Requirements
- 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)
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
Other
- 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
- 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
- This role is not eligible for visa sponsorship or relocation assistance
