JP Morgan Chase & Co.

Senior Quant Analytics Associate - Fraud Risk

JP Morgan Chase & Co. • $90K — $130K *
Wilmington, DE 19801In-Person
Finance & Insurance
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Data Science)
  • 3+ years of experience in Risk Management or quantitative analysis
  • Proficient in SQL, Python, and Alteryx
  • Strong knowledge of machine learning algorithms for anomaly detection
  • Experience with generative AI solutions and LLM prompt engineering
  • Familiarity with evaluation metrics for ML and generative AI
  • Ability to convey complex concepts to technical and business stakeholders

Responsibilities

  • Analyze large datasets to identify trends indicative of fraud
  • Build and maintain automated reporting systems for strategic insights
  • Enhance analytical techniques to improve business metrics
  • Collaborate with cross-functional teams to deliver actionable recommendations
  • Implement GenAI and Agentic AI solutions using Python
  • Utilize LLMs and ML techniques to streamline decision-making
  • Design proof-of-concepts for insights extraction from various data formats
  • Stay updated on research in ML, LLM, and data science for continuous improvement

Benefits

  • Comprehensive understanding of transaction lifecycle
  • Collaboration with cross-business partners
  • Opportunity to work with advanced analytics technologies
  • Ability to drive positive business outcomes
  • Focus on both fraud prevention and customer experience enhancement
Full Job Description
JOB DESCRIPTION

If you are passionate about leveraging advanced analytics and AI to combat fraud and drive business value, we encourage you to apply!

As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics fraud through advanced, data-driven analysis. You’ll gain a comprehensive understanding of the point-of-sale transaction lifecycle and deliver timely, efficient, and tailored solutions. You will collaborate with cross-business partners to leverage advanced analytics for fraud/scam prevention, dispute and claim management, and optimization of risk/reward tradeoffs (losses/OpEx/customer experience), with the goal of driving positive business outcomes.  

Job Responsibilities

  • Analyze large datasets to detect patterns, trends, and anomalies indicative of fraudulent activity.
  • Build, develop, and maintain reporting and data automation systems to communicate insights to leadership for strategic decision-making.
  • Enhance internal analytical techniques and introduce best practices to improve key business metrics.
  • Work independently and collaboratively with cross-functional partners, from problem identification to data analysis and delivering actionable recommendations.
  • Develop and implement GenAI and Agentic AI solutions using Python to automate and optimize decision-making processes.
  • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to improve decision-making and workflow efficiency across fraud operations and customer experience.
  • Design and demonstrate proof-of-concepts (POCs) for extracting insights from structured and unstructured data using advanced analytics; build and iterate on prototype solutions.
  • Stay current with the latest research in LLM, ML, and data science, and leverage emerging techniques for ongoing enhancement.

Required Qualifications, Capabilities, and Skills

  • Advanced degree in a quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
  • 3+ years of experience in Risk Management or any quantitative field
  • Hands-on experience with SQL, Python, and Alteryx.
  • Strong understanding of the foundational principles and practical implementation of machine learning algorithms for anomaly detection, including clustering, classification, neural networks, distance-based, and time series methods.
  • Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG).
  • Experience with evaluation metrics for ML and generative AI.
  • Demonstrated ability to communicate complex concepts and results to both technical and business audiences.

 

Preferred Qualifications, Capabilities, and Skills

  • Hands-on experience with behavioral and transactional analytics tools and techniques.
  • Familiarity with model explain ability and self-validation techniques.
  • Preferred experience supporting more than one CCB Operations Function/Line of Business.

 

This role is not eligible for visa sponsorship.  This role is 5 days a week full time in office.

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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