Project Description
We are looking for the star Software Engineers who is not afraid of work and challenges! Gladly becoming a partner with famous financial institution, we are gathering a team of professionals with wide range of skills to successfully deliver business value to the client. T-shade concept of people is the one we follow in the hiring process, but let's talk about the project itself.
Our client is one of leaders in Financial Market and looking for strengthening its front-tier risk calculation and management. It involves a lot of different sub-systems to get integrated and make them working as the one meeting high quality standards including performance and robustness. Technology stack we are targeting at is Java, Python. The engineers will work closely with business and IT stakeholders to build analytical financial models calculating various inputs to bank's business such as credit / counterparty / front-office risks.
Skills Required
- solid core python, multithreading and -tasking
- asyncio, pandas and NumPy
- hands-on with API engineering, performance optimization
- ideally grid computing (Spark and alike), solid Java knowledge and hands-on experience
- banking domain knowledge (ideally credit risks, risk engines, etc.)
Responsibilities
- Development and testing of business requirements
- Able to understand business requirements & make technical backlog stories for self & others.
- Work in a team, where everyone has different technical skills. Hence open to listening ideas & explaining your ideas.
- Understand business need and contribute to sprint backlog, stories writing/grooming.
Mandatory Skills
- 10+ years engineering experience
- Solid banking domain experience
- 6+ years of experience with Java and Python
- REST API (incl. Enterprise Authentication and Authentication)
- Spring (including Spring Boot and Spring Boot Actuator)
- Using Message Brokers (ActiveMQ, RabbitMQ, Kafka, or similar)
- Experience with Elastic compute (EC2)
- Hands-on experience with distributed caching (e.g. Redis)
- Experience with python web service frameworks such as FastAPI or Flask.
- Experience using Docker in Linux environments.
- Good knowledge of testing methodologies
- Can write unit tests for unfamiliar code, analyze code coverage, and analyze failing test cases.
- Knowledge of automated testing frameworks, such as Jenkins or Gitlab CI/CD, is plus
- Unit tests & Integration tests, using JUnit/Mockito
- Git
Nice-to-Have Skills
- Knowledge of RDBMS architectures and database tooling, especially for Oracle or SQL Server
- Basic Linux tooling and administration: package installation and tooling, shell scripting, managing file systems
- Knowledge of Ansible
- Big data and reporting
- Basic understanding & use of API Security patterns