As a Quantitative Research professional, you will be working on in building financial engineering, data analytics, statistical modeling and portfolio management.
You will be a part of the team that is helping to transform business practices through automation and quantitative methods where JP Morgan is a dominant player.
Job Responsibility:
- Strategic the agenda to transform our investment bank into a data-led business and drive change through innovation and business process optimization using state-of-the-art machine learning techniques.
- Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development and contribute directly to the business and client franchise; identify and generate revenue opportunities;
- Develop and deliver analytics that help transforming the business and contributing to the automation agenda.
- Implement and deliver quantitative models and/or data analytics that generate business value.
- Partner with Technology to deliver QR analytics to the business. Excellent practical data analytics skills on real data sets gained through hands-on experience, including familiarity with methods for working with large data and tools for data analysis (pandas, numpy, scikit, TensorFlow)
- Demonstrate experience applying statistical and/or machine learning techniques in the financial industry
Required qualifications, capabilities, and skills
- Advanced degree (PhD, MSc or equivalent) in Probability theory, Statistics, Mathematical Finance or Engineering.; Relevant academic research publications a plus;
- Understanding of risk drivers in derivative products.
- Familiarity with data engineering / orchestration systems