Join Our Team as a Lead Applied Machine Learning Scientist at JPMorgan Chase & Co.

Are you passionate about leveraging real-world data to make a tangible impact on small businesses across the United States? Do you have the drive to be at the forefront of the Payment industry with innovative solutions to combat fraud? If so, we want you at JPMorgan Chase & Co.

As a Lead Applied Machine Learning Scientist within our Trust & Safety Payments Organization, you'll be instrumental in developing advanced machine learning models aimed at ensuring secure transactions for SMBs. You will work with a variety of AI and machine learning algorithms to design state-of-the-art solutions, protecting vital Wire/ACH and card transactions worth several trillion dollars.

JPMorgan Chase Corporate & Investment Bank is recognized globally across investment banking, wholesale payments, and other financial services. Trusted by the world's most significant corporations, governments, and institutions in over 100 countries, we are committed to excellence in our field.

Job Responsibilities:

• Develop sophisticated machine learning models to detect various types of payment fraud, including merchant fraud and risk.
• Analyze large datasets using advanced techniques, deliver insights, and communicate findings with key stakeholders.
• Manage the full lifecycle of model development from data extraction to deployment and continuous evaluation in production settings.
• Design and implement knowledge graphs incorporating data from diverse third-party sources.
• Work closely with Business, Operations, and Product teams to create effective risk and fraud management solutions.
• Instill a culture of AI/ML-first approach in developing fraud and risk solutions to enhance operational excellence.

Required Qualifications, Capabilities, and Skills:

• Advanced degree (MS or Ph.D.) in Machine Learning, Data Science, or a related field such as Computer Science, Applied Mathematics, Statistics, Physics, or Artificial Intelligence.
• Strong grasp of machine learning and modeling practices with algorithms like decision trees, random forests, neural networks, and graph models.
• Expertise in data preprocessing, feature extraction, model building, and statistical analysis.
• Proficiency in SQL databases and programming languages (Python or Java).
• Minimum 3 years of experience with machine learning APIs and computational frameworks (XgBoost, Pandas, TensorFlow, Scikit-Learn, NumPy, SciPy).
• At least 5 years of experience with big-data technologies (Hadoop, Spark, Flink).

Preferred Qualifications:

Previous experience in AI/ML within the Payments sector is highly advantageous.

About JPMorgan Chase & Co.:

As one of the oldest financial institutions, JPMorgan Chase & Co. offers pioneering solutions to consumers, small businesses, and leading corporate, institutional, and government clients. Our expansive history extends over 200 years, during which we've been leaders in investment banking, consumer and small business banking, commercial banking, and asset management.

We offer a competitive total rewards package and are dedicated to fostering a diverse and inclusive work environment. We are an equal opportunity employer, committed to excellence through diversity.

Additional Information:

Company Name: JPMorgan Chase & Co.
Job Title: Lead Applied Machine Learning Scientist
Location: Eligible for Remote
Join us and be a part of a company where innovation meets tradition, and you can make a significant impact on today's economy.