Job Description

We are an Applied AI Delivery & Research Team placed within the corporate sector for solving Employee Experience, HR, and Operations problems, it is a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and the development of artificial intelligence and machine learning (AI/ML)-based solutions.

As an Applied AI/ML Senior Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.

Job Responsibilities

Engaging with stakeholders and understanding business requirements.
Developing AI/ML solutions to address impactful business needs
Working with other team members to productionize end-to-end AI/ML solutions
Engaging in research and development of innovative relevant solutions
Documenting developed AI/ML models to stakeholders
Coaching other AI/ML team members towards both personal and professional success
Collaborating with other teams across the firm to attain the mission and vision of the team and the firm.

Required Qualifications, Capabilities, And Skills

Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) and 3+ years of applied experience.
Strong foundation in AI/ML and excellent problem-solving skills.
Familiarity with LLMs and agentic frameworks, such as LangGraph and similar technologies.
Experience in the application of AI/ML to a relevant field.
Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
Strong experience in natural language processing (NLP) and its applications
Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
Previous experience in working on Spark, Hive, and SQL.

Preferred Qualifications, Capabilities, And Skills

Financial service background
PhD in one of the above disciplines.

ABOUT US

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 for more information about requesting an accommodation.

About The Team

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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