Risk & Analytics Products (RAP) is a full-stack product team focusing on developing platforms for Risk and analytical applications. We use mathematical modeling and the latest technologies to build loss forecasting, stress testing pipelines, and other Risk applications for the firm. Our systems are responsible for calculating risk on some of the largest portfolios in Citi.
We are a diverse group of professionals with backgrounds in Physics, Engineering and Computer Science. You will work alongside experienced colleagues to further develop your analytical and quantitative skills. You will build skills in building products from the ground up for solving real life problems and develop a career as a risk model expert.
Key Responsibilities:
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Implement models using sound numerical and computational techniques
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Develop methodologies, algorithms and diagnostic tools for testing model stability and performance.
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Engage business risk managers, clients, and other partners to present the model, technology platform and tools.
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Participant in the analysis and interpretation of model results, incorporate partners’ feedback as appropriate into the implementations.
Qualifications:
- Ph.D or a Master’s degree in quantitative field e.g. physics, engineering, mathematics, statistics, etc.
- Solid programming skills and experience modeling techniques and numerical implementations.
- Fluency in Python, Linux, Numerical libraries and data processing experience.
- Experience in numerical and quantitative methods, monte carlo simulations and analyzing large and complex data sets.
- Interest in developing a career in finance, financial experience is not a requirement.