Applied AI ML, Senior Associate

JOB DESCRIPTION

Join a team of analytics professionals focused on applied AI and quantitative modeling within Consumer & Community Banking (CCB) at JPMorganChase. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorganChase to assess and execute critical business decisions.

As an Applied AI ML Sr Associate, in our Product & Transformation team, you will work with colleagues across JPMorgan Chase developing cutting-edge products and systems to serve our employees supporting Chase Finance & Business Management.

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, or Artificial Intelligence modeling discipline.
• 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:

• 2+ years of related experience.
• Advanced degree in Data Science, Computer Science, Operations Research, Mathematics, Statistics, Engineering or equivalent quantitative field.
• Experience in developing Artificial Intelligence, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling).
• Proficiency in SQL and at least one programming language is required (e.g. Python).
• Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.

Preferred qualifications, capabilities, and skills:

• Ph.D. in Data Science, Artificial Intelligence, or Computer Science.

Please note: Relocation is not offered and/or supported for this role.

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’ reli…