CCB Risk Modeling - Applied AI ML Senior Associate

Job Description
Data Science & Model Insights - AI ML Sr. Associate
The Data Science & Model Insights team is seeking talented individuals with expertise in machine learning, big data, and distributed computing, specifically for applications within credit decision and fraud modeling. The ideal candidate will contribute to long-term profitable growth by leveraging strong business acumen, collaborating effectively in a team environment, and communicating insights to senior management.
Job Responsibilities:

• Design and develop machine learning models to drive impactful decisions across credit decision and fraud modeling.
• Research, develop, document, implement, maintain, and support tools and frameworks that enhance AI/ML model explainability and fairness, ensuring transparency and ethical use of models.
• Utilize state-of-the-art machine learning methodologies and construct sophisticated models, including deep learning architectures, on big data platforms to solve complex business challenges.
• Work closely with senior management to develop and implement ambitious, innovative modeling solutions, ensuring their successful deployment into production environments.
• Collaborate with diverse teams, including marketing, risk, technology, model governance, and research, throughout the entire modeling lifecycle-from development and review to deployment and operational use.

Required qualifications, capabilities and skills:

• Ph.D. or Master's degree from a reputable institution in a quantitative discipline such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering.
• Proven track record in designing, building, and deploying high-quality machine learning models in production environments, demonstrating a strong ability to translate theoretical concepts into practical applications.
• In-depth knowledge of advanced machine learning algorithms, including regressions, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model design and hyperparameter tuning.
• Experience in interpreting complex machine learning models such as XGBoost and GBM, with additional experience in interpreting deep learning models considered a valuable asset.
• At least one year of hands-on experience and proficiency in programming languages and frameworks such as Python, TensorFlow, Spark, or Scala, coupled with expertise in big data technologies like Hadoop, Teradata, AWS Cloud, and Hive.

Preferred qualifications, capabilities and skills:

• Strong expertise, interest, and track record of performing cutting-edge research on Explainable AI(XAI).
• Familiarity with large language models (LLMs) and their applications, including experience in fine-tuning and deploying LLMs for natural language processing tasks.
• Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired.
• Strong ownership and execution; proven experience in implementing models in production.

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.
We offer a broad array of credit cards to meet the needs of individuals and small businesses, including Chase-branded and co-branded cards in partnership with well-known companies and organizations. Merchant Services is a leading provider of payment, fraud and data security for companies, capable of authorizing transactions across global currencies.