Job Directory JP Morgan Chase Vice President, Digital Intelligence - Senior Machine Learning Engineer
JP Morgan Chase

Vice President, Digital Intelligence - Senior Machine Learning Engineer JP Morgan Chase
New York, NY

JP Morgan Chase & Co. is a global financial services provider that offers investment banking, asset management, treasury and other services.

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About JP Morgan Chase

Job Description

Vice President, Digital Intelligence - Senior Machine Learning Engineer

Req #: 190042129

Location: New York, NY, US

Job Category: Digital

Job Description:

About Chase

Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.4 trillion and operations worldwide. Chase serves nearly half of America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.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.

The Digital Intelligence team's mission is to deeply personalize the user experience of our millions of customers through the use of the firm's massive data, machine learning and proprietary data platforms. Whether it's building a financial graph of consumers and small businesses, optimizing ad targeting on chase.com/mobile and paid media sites, recommending the most relevant hotels, or detecting fraudulent behavior, we work at the intersection of statistics, machine learning and engineering to tackle some of the most challenging and interesting problems you will find in digital banking, commerce and payment. Many companies claim that they work on "big data" and "data science". We live and breathe them every day.

The ideal candidate has created production-level low latency and highly scalable Machine Learning pipelines to process terabytes of data, and update predictive models in production. They are hands-on, have a solid understanding of software engineering principles and love learning new skills along the way. They feel comfortable working with a diverse team of data scientists, product managers and business partners. You will be joining one of the most elite data science and engineering teams on Wall Street: several of us have worked at other leading software companies, financial services and start-ups before joining the team.

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 machine-learning and more broadly artificial intelligence, system engineering, parallel computing, and computer science. He/she needs to have demonstrated experience in bringing theoretical machine-learning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into large-scale production system certain advanced ML and applied ML 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.

Qualifications:

7-10 years of software engineering/developer and production experience

3-5 years of applied machine-learning with regression, classification, etc. models for supervised learning

3-5 years of experience in big-data unsupervised learning

5 years of big-Data platform engineering

5 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.

Desirable:

5 years of NLP (natural language processing) with demonstrable work products.

Extensive work experience in financial services, with strong understanding of creating the best products for customers in this sector.

Extensive experience in time series analyses.

About JP Morgan Chase

JP Morgan Chase & Co. is a global financial services provider that offers investment banking, asset management, treasury and other services.

Headquarters
Size
255998 employees
JP Morgan Chase

270 Park Ave

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