1+ months

CCB-Risk-Card Modeler/Machine Learning-Decision Insights-Vice President

Wilmington, DE 19801
  • Job Code
    190054777

CCB-Risk-Card Modeler/Machine Learning-Decision Insights-Vice President

Req #: 190054777
Location: Wilmington, DE, US
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 5000 US Dollar (USD)

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

 
 
 

Our Firmwide 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 - Machine Learning Data Scientist (VP level)

  • 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)


BASIC QUALIFICATIONS

  • 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 3 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
  • Ph.D with track record of achievements such as reputed publications in deep learning or released open source packages

  • 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 deep learning models is a plus

  • Strong ownership and execution; proven experience in taking models to production

 


Keyword: card%20services

Categories

Posted: 2019-07-30 Expires: 2019-10-26

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world.

Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries.

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CCB-Risk-Card Modeler/Machine Learning-Decision Insights-Vice President

JPMorgan Chase & Co.
Wilmington, DE 19801

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