Quant Developer
3 months ago
Job Description :
Our client is one of the leading global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a skilled professional to join their Quantitative Risk Management team in Mumbai.
Some of the key responsibilities will include :
- Develop a comprehensive library for analytical testing and reporting in Python.
- Design and implement tests to validate risk models (including market risk, CCR, FRTB capital models, etc.) through benchmarking, back-testing, scenario analysis, and edge conditions.
- Ensure models meet their objectives and prepare model review documentation.
- Conduct model risk analysis and contribute to the broader model validation efforts.
To be eligible for this role you will require :
- 1-4 years of relevant experience in software development in Python - covering both procedural and functional programming, with strong experience in managing Python environments and using key libraries and frameworks such as Numpy, Scipy, Pandas, Matplotlib, Dask, sci-kit-learn, and PyTorch.
- Bachelor's or Master's degree in quantitative or engineering domain from Tier 1 universities.
- Basic understanding of risk models (across market risk and counterparty risk), financial products and pricing methods.
- Candidates having experience in conducting model validation, back-testing, review and scenario analysis would be preferred.
Please note : We are open to looking at candidates who come from software development experience outside of BFSI domain.
(ref:hirist.tech)-
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