Consumer Banking Machine Learning Modeling – Associate

The Risk Modeling Team  is part of the Consumer Banking Risk Management function. This team is responsible to build machine learning models, and develop prototypes that promote data-driven strategies and solutions for the clients. 

As a Consumer Banking Machine Learning Modeling – Associate in our team, you will be responsible for developing and implementing machine learning models, statistical models, and strategies. You will leverage big data and distributed computing platforms, with applications in risk management for our consumer and small business portfolio. Your role will be crucial in steering long term profitable growth, collaborating in a team environment, and effectively communicating results to senior management. If you are intellectually curious and have a passion for promoting solutions across organizational boundaries, we believe you could be the perfect fit for our tea

Job Responsibilities

• Utilize cutting-edge approaches to design and develop sophisticated machine learning models to steer impactful decisions for the business
• Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes
• Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production
• Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)

Required qualifications, capabilities, and skills

• Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
• Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network – CNN and RNN, Clustering, Recommendation) as well as design and tuning
• 3+ years of experience in developing and managing predictive risk models in financial industry
• Strong ownership and execution; proven experience in implementing models 
• Demonstrated experience in designing, building, and deploying production quality machine learning models such as XGBoost, GBM, etc. 
• High degree of initiative, self-direction, and excellent project management skills to manage competing priorities under tight deadlines

Preferred Qualifications, Capabilities, and Skills 

• Strong interpersonal skills; ability to develop effective credible relationships with business and technology partners.
• Knowledge in Big Data and Hadoop.
• Experience in interpreting deep learning models is a plus

JPMorgan Chase & Co., 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.