Quantitative Research

**JOB DESCRIPTION**
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. The Equities Modeling Quantitative Research(QR) team works closely with different stakeholders in the Global QR Equities team to develop and maintain sophisticated mathematical models for equity derivatives business

**Responsibilities**:

- Developing mathematical models for pricing, hedging and risk measurement of derivatives securities
- Identifying major sources of risk in portfolios, explain model behavior by carrying out scenario analyses, develop and deliver quantitative tools
- Assessing the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk
- Implementing risk measurement, valuation models or algorithmic trading modules in software and systems
- Designing efficient numerical algorithms and implementing high performance computing solutions

**Required qualifications, capabilities, and skills**
- Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
- Good understanding of advanced mathematical topics like probability theory, stochastic calculus, partial differential equations, numerical analysis, optimization
- Experience of code design and demonstrable programming skills in C++/Python or any other programming language
- Excellent communication skills, both verbal and written, can engage and influence partners and stakeholders
- Demonstrate good judgment - decision-making is your strong side
- Enthusiasm about knowledge sharing and collaboration
- Strong interpersonal skills required to communicate in a direct, succinct manner

**Preferred qualifications, capabilities, and skills**
- Knowledge of options pricing theory, equities markets, in particular equity derivative products and models, is a plus, but it’s not strict requirement
- Experience with data schemas and data structures would be useful in this role
- Robust testing and verification practices
- Relevant academic research publications a plus

**ABOUT US**

JPMorganChase, 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.

**ABOUT THE TEAM**

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.