Job Description
Come join us in reshaping the future!
As an Applied AI ML Senior Associate, in our Chief Modeling organization, you will work in the Chief Modeler's team on developing cutting-edge models and techniques in the Marketing, Finance, and Operations domains.
Job Responsibilities

• Apply critical thinking skills and perform advanced statistical and mathematical 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 and designing appropriate methodologies, developing and implementing efficient and scalable model suite, building insightful and explainable statistical tests to evaluate and monitor model performance.
• Act as a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
• Collaborate across teams of various functions, communicate and present analytics and modeling insights to both technical and non-technical audiences.
• Contribute to the continuous learning mindset of the organization by both bringing in and learning new knowledge, ideas, and perspectives.

Required qualifications, capabilities, and skills:

• Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative field
• 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 to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Proficiency in SQL and at least one other programming language is required, such as Python.
• Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.

Preferred qualifications, capabilities, and skills:

• Ph.D. in relevant quantitative field with demonstrated area of expertise, decision-making ability, adaptability, and creativity.
• Familiarity with big-data environments (e.g. Hadoop, Spark).
• Background or experience in Banking & Financial Services.

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. For those in eligible roles, discretionary incentive compensation which may be 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.