Quant Analytics – Associate

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Asset & Wealth Management

Quant Analytics Associate role at JPMorgan Chase focused on CECL and CCAR modeling, stress testing, and credit risk analysis. Responsibilities include running quarterly models, performing ad-hoc analysis, designing data mining queries, and presenting findings. Requires proficiency in SQL, Python, MATLAB, R, Tableau, pandas, Spark, and experience with large datasets and credit risk exposure.

What you'd actually do

  1. Run the quarterly mortgage stress testing model (e.g., CCAR), create associated reporting & analytics, and present results to management
  2. Run quarterly CECL reserve setting model and analyze key drivers of quarter-over-quarter variances
  3. Perform ad-hoc analysis and gain comfort in credit costs results for credit risk leadership team and understand and explain modeled results from mortgage credit analytics
  4. Design and develop datamining queries from large data sets (Both Structured and Unstructured) including Big Data . Experienced in conversion of data into information.
  5. Be proficient in Visualization and storytelling which can make an impact to the business .

Skills

Required

  • pandas
  • Spark/PySQL
  • SQL (Snowflake, Databricks)
  • Python
  • MATLAB
  • R
  • Tableau
  • exploratory and regression data analysis
  • Advanced degree in a quantitative discipline (e.g. Economics, Finance, Statistics)
  • Microsoft Word, Excel, PowerPoint
  • 3+ years with exposure to Fixed Income and/or Credit

Nice to have

  • Excellent communication skills
  • Strong collaborative, teamwork ethic
  • Utilize judgment and discretion in working with highly confidential information

What the JD emphasized

  • CECL
  • CCAR
  • stress testing