FAQs
What is the primary role of a Quantitative Research Associate in the Asset & Wealth Management Risk Team?
The primary role involves developing and maintaining risk measurement methodologies, performing analytics calculations, and managing the Asset and Wealth Management Risk System (Newton).
What qualifications are required for this position?
A minimum of 2 years in a Data Scientist or equivalent role is required, along with a strong understanding of statistics, applied AI/ML techniques, and excellent communication skills.
Is prior experience in financial markets necessary?
While not mandatory, practical experience in financial markets, particularly in a quantitative analysis/research role within Risk Management or a Front Office role, is preferred.
What programming languages or tools should candidates be familiar with?
Candidates should have knowledge of modular programming in SQL, Python, as well as familiarity with machine learning tools like AWS Sagemaker and TensorFlow.
What kind of educational background is preferred for this role?
A degree in a quantitative or technology field such as Economics, Mathematics/Statistics, Engineering, Computer Science, or a related field is preferred.
What specific methodologies will the role involve enhancing or developing?
The role will involve enhancing methodologies covering sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment, counterparty, and liquidity risk.
Will the role require collaboration with other teams or stakeholders?
Yes, the role involves collaborating with peers and stakeholders to identify use cases and opportunities for data science to create value.
What types of data will the Quantitative Research Associate be working with?
The associate will contribute to the analysis of new and large data sets, assisting with onboarding and following best practice data model and architecture using big data platforms.
Are there opportunities for continuous improvement and innovation in this role?
Yes, the position encourages continuous improvements in adopted Machine Learning and statistical techniques used in the data and analytics validation process.
How does J.P. Morgan prioritize diversity and inclusion within the workplace?
J.P. Morgan places a high value on diversity and inclusion, ensuring they do not discriminate based on any protected attribute and make reasonable accommodations for applicants and employees.