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Product Data Analytics - Senior Associate

Chicago, IL, United States
Up to $135,000/ year
Data Scientist Data Engineer Machine Learning Engineer MLOps Engineer
Actively hiring

Product Data Analytics - Senior Associate

JPMorganChase
Chicago, IL, United States
Up to $135,000/ year
Data Scientist Data Engineer Machine Learning Engineer MLOps Engineer
JPMorganChase
Actively hiring

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 
JOB DESCRIPTION

We are seeking a talented, ambitious Associate with a passion for data analytics and machine learning to join our team of professionals driving product insights and recommendations to our front office Banking and Payments teams in Global Banking.

As an Associate within our organization, you will be directly accountable for building and maintaining powerful data models and agentic (LLM-enabled) solutions that enable JPMorganChase global bankers to identify new opportunities for their clients and prospects and win new business. You will work across a team of business representatives, product managers, and data scientists to harness JPMorganChase’s vast internal and external data sources to design and implement advanced analytics and AI/ML models—delivering an always-on feed of insights and client analytics that drive increased revenues, time savings, and improved client outcomes. You will design and build solutions directly with end users, and when a solution is ready to be deployed, you will partner with our data engineering, applied ML, and MLOps teams to productionize, monitor, and scale it.

Job responsibilities

  • Maintain and enhance an existing suite of models that drive live insights and product recommendations to bankers
  • Design, build, and maintain analytics data products (reliable datasets, attributes, and metrics) that power ML models and banker-facing insights
  • Create ML/SQL models from payments data to identify product usage behaviors, competitor/supplier trends, and key events
  • Build agentic (LLM-enabled) workflows on top of our data ecosystem to help our banking teams act on insights efficiently and consistently
  • Manage product performance and model quality metrics (product adoption, influenced meetings, new sales, and model performance over time)
  • Participate in user feedback sessions to engage with the business on enhancements, validate prototypes, and generate new ideas
  • Partner with tech engineering, data engineering, applied ML, and MLOps teams to plan, prioritize, deploy, and monitor models and agents into production

Required qualifications, capabilities and skills

  • Advanced SQL and/or Python skills, with experience launching analytics and/or AI/ML models and features into production
  • Experience working with AWS platform/programming tools such as Databricks (or similar distributed data processing platforms)
  • Experience with feature engineering, model evaluation, and production monitoring (e.g., drift, performance, and data quality)
  • Familiarity with LLM/RAG patterns and agentic workflows, including practical evaluation approaches
  • Experience in financial services, big data, technology, or relevant start up environment
  • Bachelor’s or master’s degree in business/data analytics, math, statistics, engineering, or a related field
  • Business acumen to effectively work with non-technical business partners and leaders; ability to translate business needs into data/ML solutions
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 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 for more information about requesting an accommodation.

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


ABOUT THE TEAM

J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors.


Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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