Senior Quant Analytics Associate, Fraud Risk

JPMorgan Chase

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
25 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $157k
$113k most similar roles pay here $202k

This listing doesn't post a salary. Most similar roles pay $121,452–$193,000.

Based on 239 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 510 open roles on FindRole.

Listed pay typically runs $147,250–$205,000 across 269 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Quant Analytics Associate, Fraud Risk

Role Posting Log in to save

As a Senior Quantitative Analytics Associate in the Fraud Risk team, you will play a pivotal role in preventing plastics fraud by leveraging advanced analytics and AI. Your day-to-day responsibilities include analyzing large datasets to detect fraudulent patterns, building automated reporting systems for leadership insights, and developing GenAI solutions using Python to optimize decision-making processes. You will collaborate with cross-functional teams to enhance analytical techniques and introduce best practices that improve key business metrics related to fraud prevention, dispute management, and risk optimization. This role requires expertise in SQL, Python, Alteryx, and machine learning algorithms for anomaly detection, as well as experience with large language models and generative AI solutions. You will stay current with the latest data science research and apply emerging techniques to enhance fraud operations and customer experiences at a large scale.

Skills

Python SQL Alteryx machine learning LLMs RAG clustering classification neural networks distance-based methods time series analysis data science statistical analysis AI GenAI Agentic AI algorithms model explainability self-validation techniques behavioral analytics transactional analytics

What you'll do

  • Analyze large datasets to detect patterns indicative of fraudulent activity.
  • Build and maintain reporting systems to communicate insights to leadership.
  • Enhance analytical techniques and introduce best practices to improve business metrics.
  • Develop GenAI solutions using Python to automate decision-making processes.
  • Apply machine learning techniques to optimize fraud operations and customer experience.

What we're looking for

  • Advanced degree in quantitative fields like Computer Science, Mathematics, or Data Science.
  • Over 3 years of experience in Risk Management or related quantitative roles.
  • Proficiency in SQL, Python, and Alteryx for data analysis and automation.
  • Expertise in machine learning algorithms for anomaly detection and classification.
  • Experience creating generative AI solutions using LLMs and RAG techniques.
  • Ability to communicate complex analytical insights to both technical and business teams.

Related searches

More Senior Quant Analytics Associate jobs Senior Quant Analytics Associate jobs in Wilmington All jobs at JPMorgan Chase

More like this

Similar roles

Quant Analytics Manager, Fraud Strategy

JPMorgan Chase

Wilmington, DE 7 days ago
Python SQL Machine Learning AI Data Analysis Risk Management Project Management Product Management CI/CD Kubernetes AWS Terraform Docker Prometheus Grafana PostgreSQL Snowflake Tableau
Save

Quant Analytics Senior Associate

JPMorgan Chase

New York, NY 3 days ago $104,500–$150,000
Python SQL Snowflake AWS Tableau Spark Unix Excel Pivot Gen AI LLM calling Prompt engineering CI/CD Cloud-based technologies Big data environment
Save