Python Quantitative Risk Developer
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.
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