Data Owner Senior Associate at JPMC Candidate Experience page

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Sep, 26

Salary

0.0

Posted On

14 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Large Language Models, Generative AI, Prompt Engineering, Retrieval Augmented Generation, SQL, Pandas, NumPy, Scikit-learn, ETL Data Pipelines, Alteryx, Predictive Modeling, Data Manipulation, ML Evaluation Metrics, Monitoring Dashboards, Data Governance

Industry

Financial Services

Description

Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Owner Senior Associate, you'll leverage AI and ML to make data AI-ready. You’ll be leveraging Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank (CCB) Operations Data Owner team. The CCB Data & Analytics team responsibly leverages data from 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. Job Responsibilities: * Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries, LLMs, and vendor solutions to enable seamless integration of AIML models with business data needs. * Design and demonstrate POCs for making structured and unstructured data AI-ready. Build and iterate on prototype solutions. * Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. * Closely collaborate with Engineering and Data Science to productionalize your POCs. * Analyze diverse data assets and sources to prioritize, developing insights that lead to actionable recommendations for sequencing. Required qualifications, capabilities and skills: * Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). * Strong Proficiency in Python. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * Proficiency with data table operations (SQL, etc.). * Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. * Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards. 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. 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. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans 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.

Responsibilities

Design and implement AI-ready data solutions using Python, LLMs, and generative AI to solve business problems. Collaborate with Engineering and Data Science teams to develop POCs and productionalize data pipelines for the Consumer and Community Bank.