Applied AI ML Associate

JOB DESCRIPTION

Job Description

Join our Model Insights Team, a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk criteria team. We are seeking candidates with strong technical skills in building data-driven solutions, the ability to apply domain knowledge to deliver scalable, production-ready outcomes and a keen eye for detail and logic. It's an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. 

 Job Responsibilities

• Partner with model development teams to understand model monitoring and reporting requirements and deliver viable end-to-end solutions, including data sourcing, ETL, transformations, and deployment.
• Engage stakeholders and build strong partnerships to identify and execute opportunities to enhance model performance monitoring and automation.
• Manipulate and analyze data to identify, troubleshoot, and resolve data quality and pipeline issues.
• Proactively research and evaluate diverse data sources, identify relevant variables and data points, and transform them into standardized metrics and attributes to support monitoring and reporting needs.
• Support BAU execution of model monitoring deliverables, including Leadership reporting, validation, and issue triage, in line with defined SLAs, while proactively identifying opportunities to improve efficiency through GenAI adoption and automation.

Required Qualifications, Capabilities, and Skills

• Experience in application design and development using SAS, Python, PySpark, and Snowflake, with strong ETL/database skills and hands-on exposure to system design, testing, and production support.
• Experience working on cloud computing platforms, preferably Databricks.
• Strong quantitative and analytical capabilities, with an ability to troubleshoot data/process issues and drive resolutions.
• Undergraduate degree (minimum) in Engineering, Physics, Mathematics, or another quantitative discipline.
• Strong communication and delivery skills: excellent written/verbal communication, proactive and team-oriented mindset, and solid organizational/project management skills.
• Strong risk and controls mindset, including the ability to ask the right questions, identify risks, escalate appropriately, 
• Prior experience in model performance/health monitoring and/or risk analytics (preferred).

Preferred Qualifications, Capabilities, and Skills

• Hands-on experience with Tableau dashboarding is a plus.
• Exposure to risk management within a financial services institution is an advantage.

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.