Quantitative Research – Prime Finance – Vice President

Job title:

Quantitative Research – Prime Finance – Vice President

Company:

JPMorgan Chase

Job description

Job Description:If you are passionate, curious and ready to make an impact, we are looking for you.Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling 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.Job summary:As a Vice President in Quantitative Research, Prime Financing team, you will work with senior stakeholders in the Prime Finance businesses, as well as technology and risk teams, to drive the implementation of sophisticated tools and analytics and advance their risk/pricing workflow. The Prime Financing QR team’s mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to help the Prime business thrive. This requires the development of new innovative models, as well as enhancements to existing models, that cover the areas below. A strong technology team will work alongside the quant team.Job responsibilities:

• Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books
• Devise solutions for systematic book management, improving the overall stability of our collateral and its respective uses
• Improve the risk & pricing workflow of our Synthetics desk through the development of innovative tools
• Deliver quantitative analytics to the desks that drive decision making
• Maintain adequate control functionality

Required qualifications, capabilities, and skills:

• Advanced degree (Masters, PhD, or equivalent) in Math, Sciences, Engineering or Computer Science
• Significant work experience in a related field
• Analytical, quantitative and problem-solving skills
• Excellent communication and presentation skills, in particular to senior stakeholders
• Understanding of statistics and financial mathematics
• Financial knowledge of Delta 1 and Equity Derivatives product
• Software design and development skills, particularly in Python or C++

About Us: J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.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 for more information about requesting an accommodation.About the Team: The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

Expected salary

Location

London

Job date

Sun, 28 Jul 2024 01:30:27 GMT

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