Senior Associate Applied AI/ML, Payments

JPMorgan Chase

Confirmed live yesterday High trust

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Work type
On-site
Location
New York, NY
Posted
106 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $214k
$160k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $173,200–$254,750.

Based on 240 similar postings.

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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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Applied AI/ML, Payments

As an Applied AI/ML Senior Associate - Payments within the Payment Solutions team, you will utilize artificial intelligence and machine learning to enhance payment solutions and drive business expansion. You will research, develop, and transition high-quality models into production to streamline processes, bolster fraud detection, and improve customer experience. Your daily work involves designing scalable data processing pipelines, conducting analysis to optimize outcomes, and collaborating with cross-functional teams to solve complex problems in the payments domain. Required skills include Python, SQL, PySpark, Shell Scripting, and AWS Cloud Services, including EMR and SageMaker. You will apply expertise in deep learning frameworks like TensorFlow and PyTorch, as well as NLP, Large Language Models, AgenticAI, and neural networks. The role focuses on solving technical challenges within the payment lifecycle to ensure secure, efficient transactions across various platforms.

What you'll do

  • Research, develop, and transition high-quality machine learning models into production to streamline payment processes.
  • Design and execute highly scalable data processing pipelines to derive insights and optimize business outcomes.
  • Develop AI solutions that meet specific success metrics while balancing model complexity, scalability, and latency.
  • Partner with Risk and Compliance teams to ensure model documentation meets regulatory standards.
  • Translate complex machine learning outcomes into actionable business impact metrics for senior management.
  • Identify opportunities for AI/ML applications within the payments ecosystem to bolster fraud detection and customer experience.
  • Transform vague business questions into structured analytical plans to solve complex problems in the payment domain.

What we're looking for

  • Master’s degree in a quantitative discipline such as Computer Science, Data Science, Mathematics/Statistics, or Operations Research.
  • Minimum of 3 years of industry experience.
  • Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, NumPy, Scikit-Learn, and Pandas.
  • At least 1 year of experience in NLP, LLMs, or AgenticAI.
  • At least 3 years of experience with machine learning techniques including classification and regression algorithms.
  • Expertise in neural networks, Transformers, and fine-tuning strategies.
  • Experience with SQL, PySpark, Shell Scripting, and AWS Cloud Services.
  • 2+ years of experience with large-scale data processing on AWS EMR and SageMaker for production ML.

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