Risk Machine Learning Modeling (Auto) - Associate

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Join Our Team: Associate in Risk Machine Learning Modeling (Auto) at JPMorgan Chase & Co.

At JPMorgan Chase & Co., a leading global financial services firm, we are looking to expand our Consumer Banking Risk Management team by adding an experienced Associate in Risk Machine Learning Modeling focused on Auto finance. This team plays a crucial role in building and implementing machine learning models that enhance data-driven strategies and solutions for our clients.

About the Role

In this dynamic position, you'll leverage your advanced expertise in machine learning to design, build, and validate models that are vital to Auto risk management. You will gain a comprehensive understanding of consumer business operations, data environments, and the systems and processes necessary for effective data utilization.

Key Job Responsibilities:

  • Design and develop machine learning models to make impactful decisions.
  • Use cutting-edge machine learning techniques to construct advanced models, including deep learning architectures on big data platforms.
  • Collaborate closely with senior management to create innovative modeling solutions and implement them effectively in production.
  • Work with various teams across risk, technology, and model governance throughout the model lifecycle—from development to deployment and usage.

Required Qualifications, Capabilities, and Skills:

  • Ph.D. or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering from an accredited university.
  • Hands-on expertise in quantitative data analytics, encompassing data extraction, cleaning, transformation, and visualization.
  • Extensive experience in Machine Learning, particularly supervisory and unsupervised methods. Experience with Deep Learning (neural networks) is preferred.
  • Demonstrated ability to work with engineering teams to bring Machine Learning models into operational use.
  • Advanced knowledge of machine learning algorithms including regressions, XGBoost, CNN, RNN, and their design and tuning.
  • At least one year of coding proficiency in Python, Tensorflow, Spark, Scala, and familiarity with big data technologies such as Hadoop, Teradata, AWS cloud, Hive.

Preferred Qualifications and Experience:

Prior experience in a strategy/modeling role within the Auto Finance industry is highly advantageous.

Why JPMorgan Chase & Co.?

JPMorgan Chase & Co. offers innovative financial solutions to consumers, small businesses, and major corporate, institutional, and government clients under the renowned J.P. Morgan and Chase brands. Our rich 200-year history demonstrates our commitment to continuous innovation, leadership in the financial industry, and integrity in client service.

We are firmly committed to diversity and inclusion, recognizing that our success is built on the varied strengths of our global workforce. JPMorgan Chase & Co. is an equal opportunity employer. We celebrate diversity and ensure that all team members experience inclusion and equitable treatment regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability.

To learn more about our dedication to diversity, inclusion, and accommodations in the workplace, please visit our FAQs.

Apply Now!

Become a part of our growing team and contribute to our innovative projects that make a difference in consumer banking risk management. Apply today to take the next step in your career at JPMorgan Chase & Co.