CCB Card Risk Modeling Applied AI ML Lead

JPMorgan Chase • Wilmington, DE • 1d ago

Come join us in reshaping the future!

As AI/ML Lead you will be working on machine learning, big data and distributed computing with applications in credit card business. The successful candidate will drive long-term profitable growth using AI / ML powered predictive models with strong business acumen, collaborate in a team environment, and effectively communicate results to senior management.

Job Responsibilities

Design and develop machine learning models to drive impactful decisions for the card business throughout the customer lifecycle (e.g., acquisition, account management, transaction authorization, collection)

Utilize cutting-edge machine learning approaches, and construct sophisticated machine learning models including deep learning architecture on big data platforms

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)

Present Model result and Adhoc research to senior leaders

Required qualifications, capabilities and skills

Ph.D. or Master's degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering

Demonstrated experience in designing, building, and deploying production quality machine learning models

Deep understanding of machine learning algorithms (e.g., regressions, XGBoost, CNN, RNN) as well as design and tuning

At least 5 years of experience and proficiency in coding (e.g., Python, TensorFlow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)

Preferred qualifications, capabilities and skills

Experience in credit card industry with strong business acumen

Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired

Experience in interpreting machine learning models such as XGBoost, GBM, etc. Experience in interpreting deep learning models is a plus

Strong ownership and execution; proven experience in implementing models in production

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

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