JPMorgan Quant Model Developer Senior Associate 

United States, Texas, Plano 

524395560

As a Quant Model Developer on 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. These models support regulatory requirements as well as inform business decision making. The financial outcomes modeled range from investment assets under management and their associated fees to deposit balances to lending portfolio balances and their credit costs.

Job responsibilities:

• Design and implement quantitative models for pricing, risk management, and financial forecasting.
• 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.
• Conduct back-testing and stress testing of models to ensure accuracy and reliability.
• Validate models against historical data and refine them as necessary.
• Prepare detailed documentation of model methodologies, assumptions, and limitations.
• Ensure compliance with regulatory requirements and internal policies.
• Work closely with product and risk managers and other stakeholders to understand business needs.
• 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.
• Identify and assess potential risks associated with model assumptions and outputs while developing strategies to mitigate identified risks.

Required qualifications, capabilities, and skills:

• Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, or Engineering.
• 3+ years experience in developing and implementing quantitative models in a financial or business setting.
• Strong understanding of statistical and mathematical modeling techniques.
• Familiarity with financial instruments, markets, and risk management practices.
• Strong problem-solving skills and the ability to work with complex 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.
• Excellent written and verbal communication skills for effective collaboration and documentation.
• Be a team player who shows commitment and dedication while maintaining a positive attitude and high level of performance on high profile/time-sensitive initiatives