Quant Modeler/Developer Quantitative Research Group
Key Responsibilities
- This is a hybrid modeling/development role
- Estimate/Develop and enhance credit models in the RMBS/CMBS/ABS/CLO/Consumer Lending space via data-driven credit risk analysis for a 10 Billion Hedge Fund focused in Structured Credit
- Develop production quality ETL and data integrity processes to build and maintain credit models
- Create Visual Tools for monitoring and adjusting model performance
- Develop tools to run and analyze bid lists, dealer offerings, and new issue deals in the structured credit space with an eye toward automation
Qualifications:
Skills and Requirements
- BS in Computer Science, Data Science, Statistics, Economics, Math, or equivalent degree from a top university
- MS degree in a Statistics/Data Science, Computer Science, Mathematics, or Financial Engineering from a top university preferred
- 2-3 years experience as a research modeler/quant developer in a hedge fund, asset manager, fintech, or banking environment focused on structured products or fixed-income
- Proven modeling skills in R or Python. Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into production
- Experience with generalized regression models as well as machine learning frameworks
- Very strong programming and software design skills (Python, C+)
- Very strong communicator, flexible personality, organized, driven personality
- Enthusiastic about leveraging models into the firms investment process in the structured credit space (RMBS, CMBS, ABS, CLOs).
- Knowledge of structured products and/or risk management in a fixed-income environment a plus
- Experience with integrating data/memory-intensive processes into a cloud-based environmentis a plus
Why is This a Great Opportunity:
Working for a profitable Asset Manager in Midtown with a flat structure that's expanding.
Salary Type : Annual Salary
Salary Min : $ 150
Salary Max : $ 235
Currency Type : USD