Quant Analytics - Senior Associate - Alternative Lending Analytics Team

JPMorgan Chase JPMorgan Chase · Banking · OH · Consumer & Community Banking

Quant Analytics Senior Associate role focused on driving customer engagement and product performance in alternative lending through data analysis, experiment design, and stakeholder collaboration. Requires proficiency in SAS, SQL, Python, and analytics tools, with a background in financial services.

What you'd actually do

  1. Participate in strategic projects and provide ideas and inputs on ways to leverage quantitative analytics to generate actionable business insights and/or solutions to influence business strategies and identify opportunities to grow
  2. Complete complex analytical projects end to end with limited guidance and instructions, from formulating project proposal, performing hands-on data mining and analysis, translating the findings into actionable business solutions, and managing project timeline.
  3. Present final results and recommendations to senior leadership and business partners
  4. Drive experiment design and evaluate campaign effectiveness
  5. Sets correct expectations and manage priorities to meet commitments

Skills

Required

  • BS/BA Degree in a relevant quantitative field
  • 2+ years of industry experience in business analytics roles
  • 2+ years of work experience across broad range of analytics technologies and tools (SAS, SQL, Spark, Python, AI LLM etc.) in a big data environment
  • Financial services experience especially in credit card or mortgage
  • Exceptional communicator
  • Ability to identify key drivers, prioritize, be results-oriented, and have a strong attention to detail
  • Proficient applying quantitative methods for business analytics
  • Adept critical thinker and problem solver

Nice to have

  • Advanced degree in a relevant quantitative field

What the JD emphasized

  • 2+ years of industry experience in business analytics roles
  • 2+ years of work experience across broad range of analytics technologies and tools (SAS, SQL, Spark, Python, AI LLM etc.) in a big data environment
  • Financial services experience especially in credit card or mortgage
  • Exceptional communicator who's able to convey complex information in an understandable, compelling, and persuasive manner to technical and non-technical stakeholders
  • Proficient applying quantitative methods for business analytics