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JPMorgan Chase CCB - Data Science Lead - Virtual Branch - Vice President in Columbus, Ohio

The role sits within the Chase Strategy and Capabilities Analytics function, which specializes in analyzing the effectiveness of key front-line technology and emerging capabilities for bankers. This role manages data science and strategy in the Virtual Branch. The ideal candidate must be able to operate in a collaborative environment and will require you to engage with a wide variety of partners to socialize and move forward all Sales initiatives.

Responsibilities include:

  • Develop the roadmap and execution of strategic initiatives

  • Support partnership with key Stakeholders with strong understanding of underlying data

  • Research, develop and implement new methods of measuring and analyzing data sets. Facilitate use case and requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs.

  • Develop advanced analytics using an assortment of modeling methods, algorithms and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling

  • Develop statistical models and designs controlled experiments to test ideas and validate hypotheses

  • Use data analysis techniques to develop insights that lead to new recommendations presented to management

  • Business case development, opportunity sizing, experimental design for test initiatives

  • Profile, wrangle, and prepare data from diverse sources to support analytical efforts. Write data transformation logic in languages such as Python, SAS, or Scala.

  • Assignment rules for how to assign customers to a banker

Minimum requirements

  • 6+ years of experience with analysis supporting an operating line of business, financial services experience preferred

  • 5+ years of experience with SAS or SQL

  • Bachelors with 5+ years' experience in a quantitative or related discipline or Masters or PhD in a related field

Preferred Skills

  • Knowledge of SAS or Scala, and R or Python languages

  • Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, text mining, Machine Learning

  • Demonstrated ability to define business KPIs and establish measurement frameworks

  • Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners.

  • Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems.

  • Proven ability to work in a fast paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards

  • Technical understanding of common relational database systems; i.e., Teradata and Oracle

  • Advanced understanding of Hadoop-related technologies & their applications

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans