Data Analytics Solutions Associate - Consumer & Community Banking

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Corporate Sector

The role focuses on developing and implementing data analytics and data science solutions within the Internal Audit department of JPMorgan Chase. Responsibilities include sourcing, cleansing, and staging data, building analytical tools, and supporting data science initiatives to enhance audit testing and efficiency. The role requires experience with large datasets, SQL, Python, and data visualization tools, with a focus on delivering sustainable analytical solutions.

What you'd actually do

  1. Propose, build and execute data analytics and data science solutions in support of the full Audit life-cycle objectives using tools such as SQL, Python, Alteryx, Databricks, Tableau, Agentic Studio, Smart SDK and others.
  2. Work closely with, and manage stakeholder relationships to help determine and drive the audit plan.
  3. Help to develop repeatable analytics & tools geared toward efficiency and Auditor ‘self-service’ capabilities.
  4. Design and develop data analytics and data science solutions to support non-cycle based audit activities, including continuous auditing, continuous monitoring, automated testing and advanced testing.
  5. Understand key Data Management concepts and apply Analytics to support audit testing

Skills

Required

  • Bachelor's degree in Technology, data analytics, data science or related discipline
  • 3+ years of related Audit, Data Analytics, Data Science experience
  • Experience working with large complex data sets, drawing conclusions and reporting findings
  • Proven and recent track record of developing and delivering sustainable analytical solutions
  • Detailed knowledge of technology infrastructure, databases, and associated risk and controls
  • Excellent verbal and written communication, interpersonal and partnership skills
  • Ability to critically think and problem-solve successfully
  • Ability to oversee, and deliver on several tasks concurrently
  • Basic knowledge of Data Management principles
  • Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability while working through ambiguity
  • A high level of professional maturity and the ability to work/deliver with limited supervision

Nice to have

  • Knowledge of core bank retail functions is a plus
  • Knowledge of relevant US based regulations is a plus

What the JD emphasized

  • Proven and recent track record of developing and delivering sustainable analytical solutions, should be prepared to describe such use cases

Other signals

  • develop and leverage skills for sourcing, cleansing and staging data
  • developing data analytic solutions
  • supporting/developing data science initiatives