Quant Analytics [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Consumer & Community Banking

Quant Analytics role at JPMorgan Chase focused on developing and maintaining data strategies and analytical models for fraud and scam prevention. Requires experience in advanced analytics using SQL, Python, or R, cloud platforms (AWS, Hadoop, Spark), data visualization (Tableau, Excel), and translating findings for business stakeholders. The role emphasizes data stewardship and communicating complex findings to technical and non-technical audiences.

What you'd actually do

  1. Deliver analytical approaches to identify opportunities for enhancing fraud and scam prevention efforts.
  2. Develop and maintain a comprehensive data strategy roadmap in collaboration with Data Owners, Tech, and Product Owners.
  3. Collaborate with stakeholders to understand business priorities and translate them into actionable data initiatives.
  4. Partner with executive leadership to articulate the vision, goals, and roadmap for data-driven decision-making.
  5. Drive the adoption of best practices in data management and analytics through training, mentoring, and knowledge sharing.

Skills

Required

  • SQL
  • Python
  • R
  • AWS
  • Hadoop
  • Spark
  • Tableau
  • Excel
  • Snowflake
  • Teradata
  • Data Lake
  • Databricks

Nice to have

  • Data Visualization
  • Data Storytelling
  • Cloud Computing

What the JD emphasized

  • fraud detection
  • customer protection