Develop and maintain risk analytics tools and interactive web applications using Python (Flask/Django/FastAPI).
Maintain and optimize interactive web applications for risk reporting, visualization and analysis.
Design and implement APIs to support risk management workflows.
Automate data pipelines using Pandas, NumPy, and SQL/NoSQL databases for efficient data processing and risk reports.
Ensure secure and scalable architecture for risk-related applications, following best practices in software development.
Collaborate with risk analysts to translate requirements into technical solutions.
Maintain code quality through version control, testing and documentation.
Strong Python programming skills, with experience in Flask/Django/FastAPI.
Proficient in JavaScript and modern front-end frameworks.
Experience designing and developing RESTful APIs.
Strong knowledge of SQL and NoSQL databases.
Strong understanding of security best practices.
Experience with testing frameworks and version control.
Understanding of financial markets/instruments and risk management.
Experience working with market data, P&L, and risk metrics.
Degree in Engineering, Mathematics, Physics or any other quantitative subjects.
Flexibility as to working arrangements and hours.
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