Chase Consumer & Community Banking (CCB) serves nearly 60 million households and 4 million 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 consists of the following lines of business:
Consumer Banking serves customers at 5,200 branches in 23 states, 16,000+ ATMs, online, through mobile and by phone.
Mortgage Banking serves customers primarily through the branches, as well as by telephone and online. Services mortgage loans with combined balances of $845 billion and offers purchase and refinance solutions to first-time and experienced home buyers.
Chase Card Services consists of two businesses: Consumer and Small Business and Commercial Card. The No. 1 credit card issuer in the U.S. based on loans outstanding.
Business Banking provides deposit, credit and cash management services to businesses with annual revenue up to $20 million in 23 Chase footprint states.
Auto Finance provides auto loans indirectly through a national network of automotive dealers and manufacturer clients, as well as directly to consumers through bank branches and chase.com. Chase also provides commercial loans and floorplan financing to auto dealers.
Merchant Services is the global payment processing and merchant acquiring business for JPMorgan Chase & Co. It processed more than $1 trillion in payments in 2016.
The Full-stack Java Web Software Engineer within CCB Technology is responsible for owning and driving technical innovation along with realtime/bigdata technologies. The individual will lead technology initiatives and is a subject matter expert technologist with strong Java experience and very knowledgeable with web based data visualization and integration of Open Source software. This individual will be expected to have a deep understanding and application of enterprise software design for implementation of enterprise middleware. This person will be part of successful implementations for large data integration initiatives.