Java Software Developer – Sales Trader Workflow @ING Hubs Romania

at  ING

Discover ING Hubs Romania
We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.
Formerly known as ING Tech, as of 2022 we provide borderless services with bank-wide capabilities under the name of ING Hubs Romania and operate from two locations: Bucharest and Cluj-Napoca.
With the help of over 1600 engineers, risk, and operations professionals, we offer 130 services in tech, non-financial risk & compliance, audit and retail operations to 24 ING units worldwide.
Our tech capabilities remain the core of our business, with more than 1300 colleagues active in Data Management, TouchPoint Channels & Integration, Core Banking, and Global Products.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged. Work ethics, honesty and knowledge sharing are key to our teams and we’re always looking for like-minded people.
Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:
At ING, we’re building the solutions of tomorrow, today | 80% of our colleagues in Romania agree
The Mission
We are looking for a strong developer who is technically passionate, solution-focused and able to contribute to the design, development, test automation, and hardening our trading and pricing applications.
The Sales Trader Worfklow (STW) tool is meant to comply with MiFID regulation and aims to register communication between Sales and Trading on Requests for Quote (RFQ) in different ING Financial Markets products. The tool takes care of the following regulatory requirements: record keeping, pre-trade transparency, costs & charges, best execution and pre-deal checks.
Next to this STW is also meant to capture transaction related data to get better insight in client activity. As part of the workflow improvement a digitalization project is in place with focus on automating manual entries in STW via chatbot and NLP techniques. The purpose of this project is to get lower latency and collect better quality data, with the aim to improve ING’s service to clients.
We are in search of a strong Developer who is technically passionate, solution-focused and able to contribute to design, development, test automation and hardening (security, stability, deployment) of our in-house-developed pricing & trading components.

Your day to day

• Deliver quality code
• Use Java 11+ (interest in other JVM language is a plus) and SpringBoot
• Design and develop automated unit, integration and regression tests – primarily using these testing frameworks/technologies - Slf4j, Junit, Mockito, Cucumber
• Through our One Agile Way of Working process interpret business requirements with the Product Owner and Feature Engineer during the refinement sessions, break down stories into the tasks, estimate the Story Points to develop, test and harden a feature with your colleagues, and deliver and support it on the production environment to our global users.
• Is interested in understanding the business side

What you’ll bring to the team

• Experience: JVM language and related technology stack
• Tech stack/ knowledge:
• Mandatory:
• Knowledge on multi-threading, collections, SpringBoot 3.X
• Familiarity with automated testing
• Comfortable with relational databases and SQL
• Familiarity with source control, CI/CD and documentation tools (Azure DevOps, Confluence, Git, Maven)
• Strong analytical skills, proactivity and ability to work in cross-border teams
• Strong understanding of software development principles, including design patterns, testing, and debugging
• Strong communication skills
• Nice to have:
• Experience with Docker, Kubernetees, Azure DevOps, OpenShift
• Experience with monitoring tools like Prometheus & Grafana
• Experience with REST APIs
• Experience or affinity with IT Security concepts (Application Security, Authentication, and authorization)
• Foreign languages: English (advanced)
• Education: An university degree in Computer Science, Cybernetics, Software Engineering, Financial Engineering or equivalent

Please refer the Job description for details