Quant Analytics Associate Senior

2 days ago

Bengaluru, Karnataka, India JPMorganChase Full time ₹ 1,20,000 - ₹ 1,80,000 per year
Description

Join us to advance your analytics career by shaping innovative ML/AI solutions that drive impact across Chase.

As a Quant Analytics Senior Associate in the MLIO Analytics team, you will optimize Conversational Insights and Coaching products to enhance specialist and customer experiences. You will collaborate with cross-functional teams to deliver actionable analytics and drive business value through advanced data solutions.

Job responsibilities

  • Conduct end-to-end data analysis to improve LLM and GenAI model performance across AWS and on-premises environments
  • Transform complex datasets, automate reporting, and perform business driver analysis to enhance operational processes
  • Identify customer and specialist friction points using advanced analytics across multiple interaction channels
  • Integrate business assumptions with production data, validate hypotheses, and identify production flaws
  • Present clear, actionable insights to peers, executive leadership, and business partners
  • Investigate and resolve issues in data collection, model development, and production phases
  • Develop SQL and Python codebases, and document data dictionaries and model outputs

Required qualifications, capabilities, and skills

  • Bachelor's/Master's degree in Economics, Data Analytics, Statistics, or STEM and six years of analytics experience
  • Solid programming skills in SQL with strong writing and presentation abilities
  • Detail-oriented problem solver with a track record of meeting tight deadlines
  • Collaborative team player with curiosity and ability to operate independently
  • Hands-on experience with Excel PivotTables, PowerPoint, Tableau, Alteryx, and Python Jupyter Notebook
  • Training in multivariate statistics, regression analysis, Python, SQL, and visualization tools including Tableau
  • Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake

Preferred qualifications, capabilities, and skills

  • Extensive experience in consumer banking operations, servicing, collections, or marketing
  • Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods
  • Experience with Machine Learning, Natural Language Processing, and Large Language Models
  • Proficient in big data ETL processes for structured and unstructured databases
  • Experience preferably in financial services or operations/contact center functions

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