Applied AI/ML Senior Associate - Payments

JPMorgan Chase; New York (NY); On-site; USD 128,250 - 195,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

JPMorgan Chase is seeking a skilled Machine Learning Analyst in New York to develop and deploy advanced machine learning solutions. You will actively collaborate with Product and Technology teams to address complex challenges in payments.

The ideal candidate will possess a Master's degree in a quantitative field, strong experience in Python, machine learning frameworks, and AWS Cloud Services. Join our team to impact the financial sector transparently and efficiently.

Qualifications

• Master's degree in a quantitative discipline with 3+ years of industry experience.
• Hands-on experience with machine learning techniques and frameworks.
• Strong communication skills and ability to drive analytical projects.

Responsibilities

• Collaborate with cross-functional teams to solve complex business problems.
• Design, develop, and deploy machine learning solutions aligned with business goals.
• Translate model outcomes into business impact and communicate findings effectively.

Skills

Machine learning frameworks (e.g., TensorFlow, PyTorch)

SQL

Natural Language Processing (NLP)

Python

Deep learning

Education

Master's degree in a quantitative discipline

Tools

AWS Cloud Services

Jupyter Notebook/Lab

PySpark

Job description

As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry‑leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.

Job Responsibilities

• Actively collaborate with Product, Technology, and other cross‑functional teams to gain a deep understanding of complex business problems and formulate data‑driven solutions to address these challenges in key areas of the payments' domain.
• Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
• Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
• Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.

Required Qualifications

• Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience.
• Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
• 2+ years of hands‑on experience with large‑scale data processing on AWS EMR, building robust batched feature stores (offline/online pipelines, schema governance, backfills, reproducibility), and orchestrating SageMaker training, pipelines, and model registry for production ML.
• Proficient in Python with hands‑on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit‑Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
• 1+ years of extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM), AgenticAI, and 3+ years of extensive experience in other machine learning techniques, including classification, regression algorithms.
• Strong hands‑on expertise in neural networks and Transformers, including practical experience with Fine‑tuning strategies (e.g., full fine‑tuning and parameter‑efficient methods).
• Experience building data‑driven systems using SQL and distributed processing (e.g., Spark/PySpark or equivalent).
• Solid understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state‑of‑the‑art practices and advancements in these domains.
• Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans.
• You possess strong cognitive and communication skills, characterized by clear and articulate expression.
• You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.

Preferred Qualifications

• Experience in the financial services industry, particularly within investment banking operations.
• Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
• Trust & Safety (T&S) fraud experience in payments, designing and deploying ML models for account takeover, transaction fraud, promotion abuse.

Benefits

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.

Base Pay/Salary

• New York, NY $128,250.00 - $195,000.00 / year;
• Palo Alto, CA $128,250.00 - $195,000.00 / year;
• Seattle, WA $128,250.00 - $195,000.00 / year

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 for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.