A top bulge-bracket investment bank is looking to hire an Associate to their Quantitative Modeling team supporting their front office functions. This team will sit in the fixed income business and specifically focus on providing quantitative support to the credit trading desk, with an emphasis on high yield, leveraged loans, and credit derivatives (CDS). The Quantitative Modeling team works very closely with the STS, Prime Brokerage, and Strategy groups.
The bank is in the process of relocating front office groups from New York to Dallas and is focusing on further building out their presence in that market. They are ideally looking for an individual with 2-5 years of experience, knowledge of credit products, and strong coding skills in Python or R.
Responsibilities:
- Develop and implement financial models used to price loans, bonds, and other products relevant to the investment bank
- Work on model development, enhancement, and maintenance
- Work closely with senior management in guiding the business on how best to book new trades (choice of model, choice of features, etc.)
- Calculate risk metrics for senior management - VaR, Stress testing models, scenario analysis
- Work with cross-functional teams to develop a real-time analytical platform and facilitate data-driven business decisions
- Develop and design a system for senior management to track deal pipeline, run risk projections, and automated reporting
Qualifications:
- 2+ years of experience
- Strong academic background in a STEM field - Stats, Comp Sci, Engineering, Physics, Math, etc.
- Expertise in Quantitative Analysis, Stochastic Calc, econometrics, or financial modeling
- Strong programming skills in Python, C++, or R
- Knowledge of stress tests like CCAR/DFAST