Quantitative Research- Markets Portfolio Management- Associate/ Vice Presient

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As a Quantitative Research professional, you will be working on in building financial engineering, data analytics, statistical modeling and portfolio management. Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls. The MPM QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to manage the Markets Portfolio across all the asset classes. We develop our own analytics and mathematical models that add value to the business and/or help improve the efficiency of our colleagues worldwide. We work closely with our Technology and business partners to deliver our solutions in production. 

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  

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.