DESCRIPTION:

Duties: Guide cross-functional teams in strategic initiatives to enhance product innovation, optimize valuation techniques, and implement advanced risk management strategies across global markets. Architect and deploy risk analytics platforms, focusing on real-time data integration, advanced model performance assessment, and dynamic P&L attribution. Pioneer the optimization of analytics algorithms, utilizing machine learning and artificial intelligence to enhance the accuracy and scalability of financial models. Design and implement computing solutions, enabling processing of financial data and enhancing computational capabilities. Establish a model risk governance framework, conducting rigorous evaluations of quantitative models, identifying potential limitations, and implementing robust risk mitigation strategies. Drive initiatives to ensure compliance with evolving regulatory requirements, while fostering a culture of innovation and continuous improvement in financial analytics. Spearhead the development of financial engineering solutions, leveraging advanced data analytics and statistical modeling to ensure business growth and stability. Develop and integrate software frameworks for analytics, ensuring seamless delivery and integration with enterprise systems and applications, and driving innovation in financial technology.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Finance, Financial Engineering, Economics, Statistics, Mathematics, or related field of study plus 3 years (36 months) of experience in the job offered or as Quantitative Research Associate or related occupation. The employer will alternatively accept a Bachelor's degree in Finance, Financial Engineering, Economics, Statistics, Mathematics, or related field of study plus 5 years (60 months) of experience in the job offered or as Quantitative Research Associate or related occupation.

Skills Required: This position requires experience with the following: Manipulating and analyzing data Python and C++; using libraries including Numpy, Scipy, and Pandas; Processing data sets using data containers, multithreading, and multiprocessing in Py Spark and Tensorflow; Developing robust financial software solutions using data structures, standard algorithms, and Object-Oriented Programming; Creating financial quantitative analysis tools that deploy as REST APIs utilizing data structures, algorithms, and Object-Oriented Programming design principles; Developing financial quantitative analysis frameworks using React, Spark, JavaScript, TypeScript, and SQL; Applying mathematical and statistical techniques to real-world financial problems; Implementing and optimizing machine learning models for financial applications; Modeling and valuing financial instruments, financial products, and derivatives valuation models, using probability theory, financial mathematics, and stochastic calculus; Analyzing the pricing of financial instruments including bonds, equities, loans, mortgages, securitized products, and interest rate swaps and their valuation.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.

Job Location: 545 Washington Boulevard, Jersey City, NJ 07310.

Full-Time. Salary: $210,000 - $285,000 per year.