Digital Intelligence - Senior Machine Learning Engineer Jpmorgan Chase & Co.
New York, NY

Job Description

Digital Intelligence - Senior Machine Learning Engineer

Req #: 190041951

Location: New York, NY, US

Job Category: Digital

Job Description:

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. We serve millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under our J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services, including personal banking, investment advice, small business lending, mortgages, credit cards, payments and auto financing. In recent years, we have undertaken a large-scale digital transformation initiative, building on the success of our current mobile and online service offerings. The Digital team is responsible for building innovative platforms and developing new products that make banking and payment tasks simpler and more personalized for our customers, as well as deepen customer engagement and loyalty with more relevant offers and services. The ambition is to position Chase as the undisputed leader in digital financial services and payments, and to enable highly personalized, real-time experiences that customers increasingly expect. We function similar to a fintech start-up in our brand new offices that inspire collaboration, transparency, agile development, and a fun working environment.

Senior Machine Learning Lead

Description

This role is being offered within JPMorgan Chase Digital Intelligence organization. DI is responsible for creating advanced and intelligent capabilities for our consumer products. We work closely with our Digital Technology engineering team to bring these solutions to market. It is a fast paced and dynamic environment, where we work with many business and product owners in addition to focusing on technical deliveries. Understanding and interacting with the business is a key component to the success of our work where success is defined as bringing value to our customers.

The candidate needs to have significant training and working experience in computer science/software engineering, with large and real-time computational experience. He/she needs to have demonstrated experience in implementing and deployment of large-scale production system certain advanced computational algorithms. Big-Data platform work experience is a must, i.e. worked and maintained HBase, Hadoop, Spark, etc. where the candidate has been a key team player. The candidate needs to have significant software engineering work experience, where he/she has been responsible for bringing a complete system to production end-to-end, working with DevOps and various levels of production engineering teams.

Required:

3+ years of software engineering/developer and production experience

1- 3 years of experience in big-data

3+ years of big-Data platform engineering

3+ years of parallel computing

Minimum Master's degree in engineering disciplines (candidate's bachelor degree needs to be engineering focused as well), with the focus in computer science and related extended core training and experience. Candidates with equivalent work experience are also highly desirable.