Job Description
You are a strategic thinker passionate about driving solutions in Applied AI ML. You have found the right team.
As a Applied AI ML Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities:
- Apply critical thinking skills and perform advanced analytics to solve complex and multi-faceted business problems.
- Generate deep insights through data analysis and understanding of business processes, turning them into actionable recommendations.
- Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can enhance business performance.
- Identify and implement the appropriate algorithms effectively.
- Build and deploy prototype solutions to demonstrate ideas and validate concepts.
- Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.
- Establish yourself as a subject matter expert and trusted advisor in the analytics discipline.
- Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.
- Contribute actively to the organization's continuous learning mindset by introducing new ideas and perspectives that challenge the group's thinking.
- Mentor junior team members.
Required qualifications, capabilities, and skills:
- Deep quantitative/programming background with a graduate degree (M.S., Ph.D.) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics,
- Hands-on experience with Machine Learning models. Expertise in Python (mandatory)
- Ability to write code and develop production-ready analytical applications.
- Significant experience working with very large scale (structured and unstructured) data
- Excellent written and oral communication skills to clearly present analytical findings and business recommendations. Highly motivated, productive, and teamwork oriented.
- Good project management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables).
- Able to translate ambiguous business problems into a conceptual mathematical framework
- Passionate about continuous learning and professional development
- Deeply curious; creative and imaginative. Ability to influence and become a trusted advisor. Ability to convey complex concepts to non-technical audiences
- Effective communication and presentation skills. Can work both independently and collaboratively
Preferred qualifications, capabilities, and skills:
- 3-5 years of related experience preferred.
- Familiarity with Gen AI and its applications is good to have.
- Expertise in Pyspark (good to have)
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 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.
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.
