Applied AI ML Lead - JPMorgan Chase Bank, N.A.
Wilmington, DE 19801
About the Job
Duties: Hold responsibility for the quality of data and attributes used in Machine Learning Models to safeguard the business and derivation of new information and attributes to identify new opportunities for revenue growth and risk mitigation in card business. Work with a wide range of stakeholders and functional teams and effectively communicate results to senior management. Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle (acquisition, account management, transaction authorization and collection). Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production. Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues, patterns, improve attributes accuracy, consistency and establish warning systems and tools. Evaluate the effectiveness and accuracy of new data sources and data gathering techniques. Collaborate with various partners in marketing, risk, technology, data governance and control, etc. throughout the entire attributing and modeling lifecycle. Own quality of attributes and models developed, assuring accurate and appropriate development standards, and right implementation at all times. Make contributions to the group's knowledge base by proposing new and creative ways for approaching analytic problems and project design.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Statistics, Computer Science, Mathematics, Econometrics, Engineering, or related quantitative field of study plus 1 years of experience in the job offered or as a Applied AI ML Lead, Model/Anlys/Valid Senior Analyst, Consultant, or related occupation. The employer will alternatively accept a Doctorate (Ph.D.) degree in Statistics, Computer Science, Mathematics, Econometrics, Engineering, or related quantitative field of study plus 0 years of experience in the job offered or as a Applied AI ML Lead, Model/Anlys/Valid Senior Analyst, Consultant, or related occupation.
Skills Required: Requires experience in the following: Explanability; SHAP; XAI; Graph Databases; PitchPro; Data Visualization including Tableau; Microsoft Excel including creating pivot tables; Coding including Python, SAS, Spark, Tensorflow, Keras and MXNet; big data platforms, including Hadoop, HDFS, Oracle and Teradata, AWS cloud, and Hive; advanced statistical methods and machine learning techniques including logistic regression, GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, dimension reduction, KNN, and Recommendation; time series and forecasting; statistical analysis; hypothesis testing; and exploratory data analysis.
Job Location: 201 N. Walnut Street, Wilmington, DE 19801. Telecommuting permitted up to 40% of the week.
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 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.
