Quantitative Risk Analyst
1 week ago
Job Title: Quantitative Risk Analyst
Job Summary:
We are seeking a highly skilled Quantitative Risk Analyst to join our team at State Street. As a key member of our risk management team, you will be responsible for designing and implementing advanced quantitative models to analyze and process financial data. Your expertise in quantitative methodologies and software development will be instrumental in driving innovation and setting new industry benchmarks.
Responsibilities:
- Design and develop advanced quantitative models using numerical and computational techniques.
- Integrate and customize open-source libraries to solve complex financial market problems.
- Develop methodologies and algorithms for testing model stability and performance.
- Collaborate with data scientists, machine learning engineers, and financial modelers to develop and implement risk models.
- Support IT integration, QA/UAT, and deployment of risk library.
- Engage with business risk managers, clients, and partners to present model results and technology platforms.
Qualifications:
- Master's degree in computer science, mathematical finance, or financial engineering.
- Strong background in mathematics, including statistics, probability theory, and linear algebra.
- 5+ years of experience in object-oriented or functional programming and design.
- Experience in numerical and quantitative methods, Monte Carlo simulations, and analyzing large data sets.
- Familiarity with traditional machine learning and deep learning neural networks.
Desirable Skills:
- Linux scripting, structured and unstructured data management tools.
- Continuous integration and development environments.
- Excellent communication skills.
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