Java/Microservices Developer - Fraud/Risk

Description:

MUST COME ONSITE 3 DAYS A WEEK MINIMUM

They are migrating ORDS (Online risk decisioning system) to modern stack. This team covers their digital products (used by online channels)

The TARA platform is for non digital like when customers physically walk into branches.

The interview will be around:

• core java, spring integration, spring boot , spring security.

• REST based microservices would be great.

• Testing experience

Job Description:

Contract to Hire

Operations Technology-

They are migrating ORDS (Online risk decisioning system) to modern stack. This team covers their digital products (used by online channels)

The TARA platform is for non digital like when customers physically walk into branches.

The interview will be around:

• core java, spring integration, spring boot , spring security.

• REST based microservices would be great.

• Testing experience with Junit

Full Stack Software Engineer, Java, Spring, React JS (or other front end framework), Microservices, REST. Nice to Have: JEE and EJBs, SOAP, Oracle, NoSQL DBs, AWS or Cloud Foundry, Kubernetes

Java, Spring, React JS, Microservices, REST

CBB Risk Assessment Platform which will be used by various teams within Chase Retail to Authenticate and Analyze and detect fraudulent activity through the use of various components below.

1. Authentication and Authorization Tool – used by business side to identify and validate a Customer

2. Event Processing Engine. - Real-time Processing of Customer Events ( i.e Login, Change of Address, Request new card, etc) which will be analyzed and through business and IT rules will identify if any fraudulent activity may occur.

3. Interactive Customer Profile Dashboard – business to have the ability to analyze events, customer behavior and other patterns to assess risk.

Recent meeting notes:

Tied to real time events, update customer profile data

Monitor transactions and non-monetary transactions

Process chase customer data which will be used and evaluated to prevent fraud losses at chase. Looking to build machine learning algorithms for the data that comes in. ( example- customer changes their address, an alert will happen)

2017 was the main launch of Tara

2018- expanded and built authentication piece

2019- integration. They will utilize kafka more. Integrate Mq to kafka. Will need to build out tools for this to happen. POCs

Their data is the bedrock for authentication for the entire consumer bank.

2021- build out surveillances across the suit of apps to monitor fraudulent activity.

Skills:

Java, Springboot, Development, Agile, rest, spring, java 8, Aws, Sql, Rest api, Multithreading

Top Skills Details:

Java,Springboot,Development,Agile

Additional Skills & Qualifications:

Candidates should have solid communication skills and be self dependent.

Modern tech skills would be a big plus- cassandra, kafka, microservices, react, etc

Experience Level:

Expert Level