Python Quantitative Risk Developer at Siri InfoSolutions Inc

Strong hands-on coding experience in Python is a must with at least 4 recent years working directly with Python. Minimum of 5 years of experience specifically with financial clients is required Practice: Digital Engineering / Data & Analytics with Risk domain background Key Responsibilities: Design and develop responsive web-based UIs using React and Python (Flask/FastAPI). Build and maintain real-time data integrations using Kafka and message queues. Develop backend services and APIs with Python for risk data processing. Deploy and manage applications on AWS using cloud-native services (Lambda ECS S3 etc.). Collaborate with Banks risk and compliance teams to deliver scalable secure solutions. Apply strong software engineering principles including modular design testing and CI/CD. Participate in hands-on coding peer reviews and agile ceremonies. Required Skills: 5 6 years of experience in Python and React. Strong programming skills in Python and knowledge of Java. Experience with Kafka MQ and real-time data streaming. Solid understanding of data structures algorithms and system design. Experience with AWS cloud services and infrastructure automation. Proven track record of delivering hands-on coding projects in production environments. Strong learning mindset and ability to adapt to evolving tech stacks. Key Skills APIs,Docker,Jenkins,REST,Python,AWS,NoSQL,MySQL,JavaScript,Postgresql,Django,GIT Employment Type : Full Time Experience: years Vacancy: 1