Risk Program Senior Associate

JPMorgan Chase; Plano (TX); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

JPMorgan Chase is seeking a Risk Program Senior Associate in Plano, TX to lead ML-driven fraud risk ranking and model development on large-scale transaction data. You’ll work on feature engineering, model selection, and training using cutting-edge tools to improve fraud detection and customer experience.

You’ll collaborate with business teams to translate needs into ML solutions, leverage big data platforms, and share insights across a broad audience within the firm.

Qualifikationen

• Master's degree in a quantitative field is required.

Aufgaben

• Identify and retool machine learning algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.
• Perform ML tasks including feature engineering, feature selection, and training models on large transaction data.
• Collaborate with business teams to identify opportunities and guide ML solution usage.
• Share knowledge and provide domain expertise across the firm.

Kenntnisse

Data analysis

Machine learning intuition

Problem solving

Strong quantitative mindset

Ausbildung

Master's degree in Mathematics/Statistics/CS/Operations Research/Physics

PhD in a quantitative field (preferred)

Tools

Python

Databricks

AWS

GCP

Neo4j/TigerGraph

Jobbeschreibung

Risk Program Senior Associate

Plano, TX, United States

Job Information

• Job Identification 210788388

• Job Category Associates

• Business Unit Consumer & Community Banking

• Posting Date 09/24/2026, 01:47 PM

• Locations 8181 Communications Pkwy Bldg A, Plano, TX, 75024, US

• Job Schedule Full time

Job Description

Come and join us in reshaping the future!!

As a Risk program Senior Associate within the Chase consumer Bank, you'll be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for billions of transactions. Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.

Job Responsibilities:

• Identify and retool machine learning (ML) algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.

• Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data.

• Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions.

• Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise

Required qualifications, capabilities and skills:

• Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields.

• 2+ years of experience with data analysis in Python.

• Experience in designing models for a commercial purpose using some (at least 3) of the following machine learning and optimization techniques: CNN/RNN, Reinforcement Learning, Random Forest/GBM, Transformer based architecture and Graph technology.

• A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed.

Preferred qualifications, capabilities and skills:

• PhD in a quantitative field with publications in top journals, preferably in machine learning.

• Proven experience designing models in cloud environments and utilizing distributed/parallel processing across Databricks, AWS and GCP …

• Experience with graph technology, including designing and implementing graph-based machine learning models for fraud detection or risk assessment. Familiarity with graph databases (such as TigerGraph or Neo4j …), graph algorithms (e.g., node classification, link prediction, community detection), and graph feature engineering is highly desirable. Ability to leverage graph analytics to uncover complex relationships and patterns within large-scale transaction data is a strong plus.

• Hands-on experience with transformer models and related architectures (such as BERT, GPT, or Graph Transformers) for natural language processing, anomaly detection, or transaction analysis. Proficiency in fine-tuning and deploying transformer-based models using frameworks like PyTorch or TensorFlow is preferred. Demonstrated ability to apply transformer models to extract meaningful insights from unstructured or semi-structured data sources will be highly valued.

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

We are here to help you manage your money with checking, savings and credit cards, combining the latest banking technology with comprehensive solutions to meet the financial needs of nearly half of U.S. households.