CCB Risk Modeling - Sr Data Scientist Associate Fraud Risk at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine learning, Python, PySpark, SQL, Graph analytics, Fraud detection, Large language models, Agentic ai, Cloud platforms, AWS, Data science, Statistical modeling, Data governance, Problem-solving, Communication skills, Big data

Industry

Financial Services

Description

Job Description Join the Fraud Data Science team at JPMC and help drive innovation in fraud identification and prevention. As part of our team, you will design, develop, and deploy cutting-edge AI/ML solutions—including graph analytics and Large Language Models (LLMs)—to tackle complex fraud challenges and deliver measurable business impact. Key Responsibilities: * Develop and implement advanced machine learning models (supervised and unsupervised) for fraud detection and prevention. * Build and maintain graph analytics solutions to uncover fraud patterns and relationships. * Leverage big data and cloud platforms (e.g., AWS, Spark) to automate, scale, and productionalize analytical models/ AI ML tools. * Collaborate with cross-functional teams to translate business needs into actionable data science solutions. * Present insights and recommendations to stakeholders, clearly communicating technical results and business impact. * Document processes and ensure governance compliance for all analytical solutions. Required Qualifications: * Develop and implement advanced machine learning models (supervised and unsupervised) for fraud detection and prevention. * Hands-on experience with supervised and unsupervised machine learning statistical models. Knowledge of Graph Analytics is a big plus. * Experience with Large Language Models (LLM) and Agentic AI will be an added advantage; although not mandatory. * Strong technical skills in Python, PySpark, SQL, and big data/cloud platforms. * Excellent problem-solving and communication skills. Ability to communicate complex findings clearly in both written format and verbally to technical and non-technical audiences. * 5+ years of experience with Bachelor’s or Master’s in a quantitative field (Mathematics, Statistics, Economics, Computer Science, Engineering, etc.). Good to Haves: * Experience in developing and deploying production-quality machine learning models. * Familiarity with dashboarding tools (e.g., Tableau) and cloud services (AWS Sagemaker), Databricks etc. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. 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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

Design, develop, and deploy advanced AI/ML solutions including graph analytics and LLMs to identify and prevent fraud. Collaborate with cross-functional teams to translate business needs into actionable data science solutions while ensuring governance compliance.