Applied AI ML, Senior Associate - Sales Science

JPMorgan Chase & Co. • Columbus, OH

2d

About The Position

Join our Sales Science Data and Analytics team and help us optimize client
engagement through our Consumer & Community Banking field employees and tools!

As a Quant Analytics Senior Associate in our Sales Science Data and Analytics
team, you will help us optimize client engagement through our innovative
projects and you will help us drive the future of field AI Technologies,
leveraging ML tools and algorithms to deliver the right solutions as we reinvent
CRMs and client/employee interactions at the firm. You will be part of an
innovative team, working closely with business partners, product owners, and
fellow data scientists to build new AI/ML solutions and productionlize them. You
are someone with a passion for data, ML, and programming, who can build ML
solutions at-scale with a hands-on approach with detailed technical acumen.

Chase is a leading financial services firm, helping nearly half of America’s
households and small businesses achieve their financial goals through a broad
range of financial products. Our mission is to create engaged, lifelong
relationships and put our customers at the heart of everything we do. We also
help small businesses, nonprofits and cities grow, delivering solutions to solve
all their financial needs.

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.

Requirements

• Bachelor's degree in Computer Science, Machine Learning, or a related field with 3 years of applied machine learning experience.
• 3+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
• Experience in applying data science, ML techniques and Reinforcement Learning to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player.

Nice To Haves

• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 4 years of applied machine learning experience preferred.
• Advanced knowledge in Reinforcement Learning or Meta Learning.
• Software development experience is a plus.
• Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

Responsibilities

• Serve as a subject matter expert on a wide range of ML techniques and optimizations.
• Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conducting experiments using latest ML technologies, analyzing results, tuning models.
• Actively engage in hands-on coding to convert experimental results into robust production solutions.
• Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
• Integrate Generative AI within the ML Platform using state-of-the-art techniques.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees