Python Quantitative Risk Developer

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 1 hour ago
Vacancies: 1 Vacancy

Job Summary

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.
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: Des...
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Key Skills

  • APIs
  • Docker
  • Jenkins
  • REST
  • Python
  • AWS
  • NoSQL
  • MySQL
  • JavaScript
  • Postgresql
  • Django
  • GIT