
Associate Director, Quant Analyst
- Weehawken, NJ
- $126,000-145,000 per year
- Permanent
- Full-time
- Create, develop, implement and maintain methodologies for internal and regulatory stress scenario design and expansion for UBS.
- Develop and maintain models that are used to expand scenarios with a few risk factors into scenarios with a large universe of risk factors consistent with the scenario narrative.
- Develop and maintain scenario translation and expansion tools and models that are used in market and macro-economic stress scenarios, assessing the firm's profitability and capital adequacy.
- Use techniques from quantitative risk management, statistics, financial econometrics and macro econometrics to develop, assess, and change models and interpret regulatory input.
- Implement models in R/Python and produce clear and detailed documentation for regulators across the globe.
- Bring new quantitative modeling ideas to the team to push ahead key projects within the bank.
- Assist with the organization and the structure of the JIRA backlog and facilitate Agile meetings. Can work hybrid (In-office/remote).
- This position requires a Master's degree or foreign equivalent in Financial Engineering, Econometrics, Economics, or a related field of study.
- Financial derivatives including options, swaps, and bonds; Cross-asset dynamics
- Building models from scratch including time series analysis, linear/non-linear models, Gaussian/non-Gaussian models, and parametric/non-parametric models
- Statistical and econometric methods and their application; Programming with statistical software including Python and R
- High frequency/volatility models; Statistical tools including Monte-Carlo, Bootstrap, Stationarity, Co-integration, Regression, Goodness of fit, Out-of-sample, Null hypothesis, P-value, Risk-neutral, Autoregressive, Quantiles, and Density function
- Knowledge may be gained through graduate-level coursework, research, or teaching experience.