Consumer AI Modeling Team - Applied AI ML Associate Sr

Job Description
Join a team that consists of an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on applied AI and quantitative modeling.
As an Applied AI ML Senior Associate, within the Consumer Business Modeling team, you will utilize cutting edge quantitative and computational techniques and leverage one of the world's largest repositories of consumer data.
Job Responsibilities:

• Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
• Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
• Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
• Become a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
• Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.

Required Qualifications, Capabilities, and Skills:

• Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field.
• At least 2 years of work experience after PhD or 3 years or more after Masters degree completion
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Experience in developing machine learning, optimization, and/or statistical models and algorithms to solve real world problems (e.g. supervised and unsupervised learning such as Classification and Regression models,Mixed integer Linear Program, Nonlinear Programming ).
• Proficiency in at least one programming language is required, with Python
• Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
• Significant experience working with very large scale (structured and unstructured) data and proficiency in SQL and SparkSQL for querying data.

Preferred Qualifications, Capabilities, and Skills:

• Hands on experience developing and deploying models on cloud environments (e.g.Databricks (Spark and MLFlow), AWS (Sagemaker), or Azure (AI Studio and Kubernetes) or Google Cloud Platform ).
• Banking & Financial Services background or experience.
• Ph.D. is a plus.
• PySpark preferred.

About Us
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 for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
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.