13 days old

Asset & Wealth Management – Intelligent Digital Solutions – Data Science Engineer- Associate/ Vice President

JPMorgan Chase & Co.
New York, NY 10007
  • Job Code

Asset & Wealth Management – Intelligent Digital Solutions – Data Science Engineer- Associate/ Vice President

Req #: 190106247
Location: New York, NY, US
Job Category: Data & Analytics
Potential Referral Amount: 0 US Dollar (USD)

JPMorgan Chase & Co. is a leading global financial services firm with assets of more than $2.7 trillion, over 240,000 employees and operations in over 60 countries. It operates across four business segments including Asset& Wealth Management, Corporate and Investment Banking, Commercial Banking and Consumer and Community Banking.


 J.P. Morgan Asset & Wealth Management, is a global leader in investment and wealth management. Its clients include institutions, high-net-worth individuals and retail investors in every major market throughout the world. The division offers investment management across all major asset classes including equities, fixed income, alternatives, multi-asset and money market funds. For individual investors, the business also provides retirement products and services, brokerage and banking services including trusts and estates, loans, mortgages and deposits.

Asset Management:

Asset Management is a leading investment manager of choice for institutions, financial intermediaries and individual investors, worldwide. With a heritage of more than two centuries, a broad range of core and alternative strategies, and investment professionals operating in every major world market, we offer investment experience and insight that few other firms can match.


J.P. Morgan Intelligent Digital Solutions (IDS) is a newly developed division of J.P. Morgan Asset & Wealth Management – one of the largest asset and wealth mangers in the world, with client assets of $3.1 trillion and assets under management of $2.2 trillion. 

IDS Data Science is led by innovators that like you strive to create solutions that drive efficiency and business growth. Our team uses statistical analysis, modeling techniques, and deep learning methods to create innovative solutions for data-driven investment insights, improved client engagement, and operational effectiveness. 

We are hiring the best talents to join a team backed by the resources and industry leading advantages of one of world’s largest financial services companies. We are looking for motivated individuals to push the boundaries of what’s possible in Asset & Wealth Management.

What You Can Expect

You will work alongside top tier professionals, including data scientists, strategists, technologists, investment professionals, and marketing analytics teams, to drive product innovation and identify opportunities to incorporate machine learning into J.P. Morgan Asset & Wealth Management businesses. 

  • Experiment, develop and productionize model deployment services and solutions in a cloud environment for high-impact business use cases

  • Deliver compelling visualizations to investors through intuitive web applications and cloud-based frameworks

  • Build API layers to deploy models at scale;
  • Design solutions alongside data scientists

About You

We are looking for an engineer with a background that demonstrates a passion for emerging technologies, the ability to thrive in a cloud-native environment, and enthusiasm and resourcefulness in developing innovative solutions.

You will be joining a team that enjoys a highly collegial and visible environment with partnerships that span J.P. Morgan’s business lines. The right candidate will be assertive, possess great communication skills and be a true team player.

  • Cloud expertise in one or more of the following: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes

  • Full stack web development expertise
  • Advanced skill in programming languages such as Java, Python, Scala, Javascript

  • Hands on API development experience (GraphQL, Rest APIs)
  • ETL pipeline development, both batch and real-time data processing
  • Experience in fast-paced delivery environments
  • Big data technologies experience (e.g. Hadoop, Hive, Spark, Kafka)
  • Experience working with data scientists or machine learning experts

  • Knowledge of machine learning platforms: SageMaker, Kubeflow, H2O.ai

Keyword: consumer%20banking


Posted: 2019-11-25 Expires: 2019-12-25

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Asset & Wealth Management – Intelligent Digital Solutions – Data Science Engineer- Associate/ Vice President

JPMorgan Chase & Co.
New York, NY 10007

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