Description:

Join a dynamic team that makes meaningful impacts by working with product managers to help understand the implications of changing macroeconomic and business conditions as well as to develop new models and analytical techniques.

As a Quant Modeling Senior Associate, within the Asset Wealth Management team, you will use advanced statistical, quantitative, and computing techniques to develop, implement, test, and conduct analysis on advanced financial forecasting models to support regulatory requirements as well as inform business decision making. 

Job Responsibilities:

Support the design, testing, and implementation of quantitative models for pricing, risk management, and financial forecasting using Python or similar programming and statistical packages.Work closely with product and risk managers and other stakeholders to understand business needs, particularly as they relate to interpreting model output.Identify and assess potential risks associated with model assumptions and outputs while developing strategies to mitigate identified risks and develop algorithms and statistical models to analyze financial data.Analyze large datasets to identify trends, patterns, and insights and use statistical tools and techniques to interpret complex data and conduct back-testing and stress testing of models to ensure accuracy and reliability.Validate models against historical data and refine them as necessary and prepare detailed documentation of model methodologies, assumptions, and limitations.Ensure compliance with regulatory requirements and internal policies and collaborate with IT teams to integrate models into existing systems.Stay updated with the latest developments in quantitative finance and modeling techniques and explore new data sources and methodologies to enhance model performance.

Required Qualifications, Capabilities, and Skills: 

Master’s or doctoral degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, or Engineering; 4+ years of experience in developing and implementing quantitative models in a financial, business, and/or post-baccalaureate academic research setting.Strong understanding of statistical and mathematical modeling and testing techniques.Strong understanding of industry standard statistical and mathematical modeling tools, e.g., Python, SAS, and Excel.Strong problem-solving skills and the ability to work with complex cross-sectional and longitudinal datasets.Ability to interpret and communicate quantitative results to non-technical stakeholders.High level of accuracy and attention to detail in model development and data analysis.Familiarity with financial instruments, markets, and risk management practices.