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Quantitative Risk Modeling Specialist
1 month ago
Bloomberg's Quantitative Analytics team is seeking a highly skilled Quantitative Risk Modeling Specialist to join our team in New York. As a key member of our team, you will be responsible for designing, implementing, and testing advanced statistical and machine learning models to estimate liquidity risk for corporate, municipal, and sovereign debt, and equity securities.
Key Responsibilities:
- Research and develop new liquidity risk models using advanced statistical and machine learning techniques
- Implement and test models in collaboration with our Engineering and Model Validation teams
- Communicate complex modeling concepts and assumptions to external clients, product managers, and risk product support unit
- Assist the QRA Team Leader with liquidity risk project management and coordination with Engineering, Product Managers, and Model Validation partners
- Maintain liquidity risk methodology thought leadership and publish research papers in academic and industry journals
Requirements:
- Ph.D. in a quantitative field such as Mathematics, Physics, Engineering, or Quantitative Finance
- Minimum of 4+ years of experience in liquidity risk modeling or a similar field
- Hands-on experience in designing, implementing, and testing machine learning algorithms and data-analysis pipelines
- Demonstrable knowledge of probability theory, stochastic processes, and statistical estimation
- Experience in Python and software engineering, including code design, implementation, testing, and production release
We are looking for a candidate with:
- Strong oral and written communication skills
- Collaborative mentality and experience working in teams with other quants, engineers, and product managers
- Familiarity with object-oriented and functional design patterns, and programming
- Team leadership and ability to communicate with internal and external stakeholders and clients
If you are a motivated and experienced quantitative risk modeling specialist, please apply to join our team at Bloomberg.