Risk Modeling - Machine Learning Associate

Job Description
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As a Risk Modeling - Machine Learning Associate within our Consumer and Community Banking Risk Modeling team, you will be responsible for the development and implementation of machine learning models, statistical models, segmentations, and strategies. You will have the opportunity to utilize big data and distributed computing platforms, applying them to risk management for our consumer and small business portfolio. The ICB (International Consumer Bank) business within JPMorgan has grown significantly since its launch in 2021, and we expect the business to expand further over the next few years. Join the expansion of the Chase digital bank across the UK and Europe and help us continue to build our award-winning bank.In this role you will be responsible for development of models and will be able to build a solid understanding of various consumer products and key risk drivers for statistical credit models of those products and ensure that we are able to synergize use of vendor models.
You will also have an opportunity to use your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting and automation.
Job Responsibilities:

• Evaluate, test, and validate vendor models for their effectiveness to address the business proposition being evaluated (typically credit risk) as well as other risk components.
• Understand/evaluate efficiency of state-of-the-art modeling techniques including both classical statistical modeling approaches and modern machine learning approaches to enhance existing models and tackle challenging modeling problems.
• Manage end-to-end model development process, including data sourcing, manipulation, exploratory data analysis and pattern discovery, documentation, assisting with implementation, and performance monitoring.
• Collaborate with cross functional partners in Risk, Finance, Technology, Model Governance throughout the entire modeling life cycle.
• Interact with third party vendors and making sure Chase can gain maximum synergies on use of these vendor models.

Required qualifications, capabilities, and skills

• Advanced degree in a quantitative discipline (e.g., Mathematics, Statistics, Economics, Computer Science, Operations Research) with 6+ years of relevant working experience
• Strong data analysis and statistical/economic modeling experience, such as generalized linear models, multivariate analysis, and time series analysis.
• Proficiency in advanced analytical languages (e.g., SAS, Python, R);
• Ability to work with large data and perform extensive analysis to draw useful insights.
• Strong communication skills to present to and collaborate with business partners and model end-users.
• Strong organizational and multi-tasking skills with demonstrated ability to manage expectations and deliver quality results on time.
• Comfortable working both independently and in a team environment.

Preferred qualifications, capabilities, and skills

• Knowledge of vendor management/ similar experience in past is very useful
• Doctoral degree is preferred.
• Familiarity with framework of machine learning pipeline (e.g., tensor flow, scikit-learn) is not required but a plus.

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.