Quant Analytics [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Consumer & Community Banking

This role involves leading analytical projects, collaborating with business managers to develop insights and dashboards, serving as a subject matter expert in data, and identifying opportunities to leverage AI/ML tools to enhance product value and drive efficiency within the fintech industry. The role requires strong quantitative analytics skills, market research capabilities, and the ability to master and apply various analytical techniques.

What you'd actually do

  1. Independently lead and execute analytical projects end-to-end, from project proposal to presenting results to Senior Leadership.
  2. Collaborate with business managers from product teams to develop information suites including dashboards, reports, and deep-dives and craft compelling narratives highlighting current landscape of fintech industry for C-suites.
  3. Serve as a subject matter expert in understanding transaction, product and customer data, providing enhanced data assets and consultation to the broader Data and Analytics organization.
  4. Partner with product teams, leveraging quantitative analytics to generate actionable business insights and influence product strategies.
  5. Identify opportunities to leverage AI/ML tools to enhance product value prop for customers and drive operational efficiency.

Skills

Required

  • Writing SQL queries
  • performing data manipulation
  • data structuring
  • query optimization within large enterprise databases
  • Delivering strategic analysis to leadership
  • Translating complex technical findings into consumable storylines
  • Manipulating and wrangling multiple complex data sets to perform exploratory data analysis
  • identifying product and market opportunities
  • Developing and maintaining dynamic and interactive dashboards using Tableau
  • leveraging data visualization
  • ETL automation
  • ODBC connectors
  • Designing and developing interactive Excel and PPT reports with advanced functionalities
  • Running analyses on products and consumers to guide product decisions
  • Conducting statistical analysis and generating insights to guide business decisions

Nice to have

  • casual inference
  • modeling

What the JD emphasized

  • AI/ML tools

Other signals

  • Leverage AI/ML tools to enhance product value prop for customers and drive operational efficiency
  • Continuously master a broad range of analytical techniques such as casual inference or modeling and understand how to best apply them in solving each business problem
  • Develop and implement analytical best practices including effective documentation and code hygiene to promote effective collaboration across teams in Data and Analytics