Job description
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.\nOur 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.\nTechnology stack we are targeting at is Java, Python.\nThe 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.\n\nSkills 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.)\n\nAre you the one who is willing to dig deep into Financial Market? Are you T-shaped person who is not afraid of doing variety of work? Then we suit you perfectly! Submit your CV and our team is going to reach to you asap!"
Skills"- 10+ years engineering experience\n- Solid banking domain experience\n- 6+ years of experience with Java and Python\nREST API (incl. Enterprise Authentication and Authentication)\n- Spring (including Spring Boot and Spring Boot Actuator)\n- Using Message Brokers (ActiveMQ, RabbitMQ, Kafka, or similar)\n- Experience with Elastic compute (EC2)\n- Hands-on experience with distributed caching (e.g. Redis)\n\u2022 Experience with python web service frameworks such as FastAPI or Flask.\n\u2022 Experience using Docker in Linux environments.\n\u2022 Good knowledge of testing methodologies. Can write unit tests for unfamiliar code, analyze code coverage, and analyze failing test cases.\n\u2022 Knowledge of automated testing frameworks, such as Jenkins or Gitlab CI\/CD, is plus\n\u2022 Unit tests & Integration tests, using JUnit\/Mockito\n\u2022 Git"
Responsibilities"Development and testing of business requirements\nAble to understand business requirements & make technical backlog stories for self & others.\nWork in team, where everyone has different technical skills. Hence open to listening ideas & explain your ideas.\nUnderstand business need and contribute to sprint backlog, stories writing\/grooming."