Senior Quantitative Analytics Associate - Business Banking & Wealth Management

Job Responsibilities Support and lead partnerships with Area Product Owner and product delivery teams with strong understanding of business drivers, underlying data and processes Lead development and reporting of model performance metrics & KPIs. Use analytical tools such as statistical analysis, segmentation, regression, and other techniques for exploratory data analysis. Leverage enterprise data across a wide array of data pivots (borrower, dealer, loan characteristics, price sensitivity) to better understand dealer/borrower loan cashing behavior and friction points Contribute to business cases, construct pricing test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future modeling strategies Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the Product Manager Support the creation of dashboards and visualizations to measure the impact of implemented models and provide stakeholders with self-service tools to explore pricing strategy options and trade-offs. Leverage Agile processes to deliver on a wide range of product activities including requirements gathering, creating and updating epics/stories and model performance reporting with a strong focus on model explainability and data‑storytelling to stakeholders. Required Qualifications 5+ years of related experience Bachelor's degree in a quantitative or related field Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology Hands‑on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta) Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods Hands‑on experience writing code and automating processes to source, transform and analyze data from multiple sources Preferred Qualifications Graduate degree in a related field Experience writing code and automating processes with structured and unstructured data Familiarity with AWS and/or comparable cloud technology 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. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans. #J-18808-Ljbffr JPMorgan Chase