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CCB-Risk-Card Modeler/Machine Learning-Decision Insights-Ass

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Job Details
Job Order Number
JC144480333
Company Name
JPMorgan Chase
Physical Address

Wilmington, DE 19806
Job Description

JPMorgan Chase & Co . (NYSE: JPM) is a leading
global financial services firm with assets of $2.7 trillion and operations
worldwide. The Firm is a leader in investment banking, financial services for
consumers and small businesses, commercial banking, financial transaction
processing, and asset management. A component of the Dow Jones Industrial Average,
JPMorgan Chase & Co. serves millions of customers in the United States and
many of the world’s most prominent corporate, institutional and government
clients under its J.P. Morgan and Chase brands. Information about JPMorgan
Chase & Co. is available at www.jpmorganchase.com at http://www.jpmorganchase.com/

OurFirmwide Risk Function is focused on
cultivating a stronger, unified culture that embraces a sense of personal
accountability for developing the highest corporate standards in governance and
controls across the firm. Business priorities are built around the need to
strengthen and guard the firm from the many risks we face, financial rigor,
risk discipline, fostering a transparent culture and doing the right thing in
every situation. We are equally focused on nurturing talent, respecting the
diverse experiences that our team of Risk professionals bring and embracing an
inclusive environment.

Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial
services, including personal banking, small business banking and lending,
mortgages, credit cards, payments, auto finance and investment advice. Consumer &
Community Banking Risk Management partners with each CCB sub-line of business
to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation,
operational, credit, market and regulatory, among others.

The Decision Insights machine learning team is a center of excellence within
CCB Card Modeling. We focus on the innovation and use of advanced machine
learning modeling including deep learning to identify new opportunities for
revenue growth and risk mitigation in the card business. We are looking for candidates
with demonstrated expertise in machine learning to join our talented team. The candidate will be responsible for end-to-end
machine learning model design and development. Success in
this role requires a strong foundation in machine learning, coupled with
experience in big data and distributed computation. In
this highly visible role, the successful candidate will be able to think like
an analytic leader with business acumen, collaborate in a team
environment, and communicate results effectively
to senior management.

Card Risk Modeling – Decision Insights Team – MachineLearning Data Scientist (Associate)

+ Design anddevelop machine learning models to drive impactful decisions for the card businessthroughout the customer lifecycle (e.g., acquisition, account management, transactionauthorization, collection)

+ Utilizecutting-edge machine learning approaches, and construct sophisticated machinelearning models including deep learning architecture on big data platforms

+ Work closelywith the senior management team to develop ambitious, innovative modeling solutionsand deliver them into production

+ Collaboratewith various partners in marketing, risk, technology, model governance, etc. throughoutthe entire modeling lifecycle (development, review, deployment, and use of themodels)

Basic Qualifications

+ Ph.D. or Master’s degree from anaccredited 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 learningalgorithms (e.g., regressions, XGBoost, CNN, RNN) as well as design and tuning

+ At least 1 year of experience and proficiencyin coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies(e.g., Hadoop, Teradata, AWS cloud, Hive)

Preferred Qualifications

+ Ph.D withtrack record of achievements such as reputed publications in deep learning or releasedopen source packages

+ Demonstratedexpertise in data wrangling and model building on a distributed Spark computationenvironment (with stability, scalability and efficiency). GPU experience is desired

+ Experiencein interpreting deep learning models is a plus

+ Strong ownershipand execution; proven experience in taking models to production

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.


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