A complete application in a minute
Tailored resume and cover letter, ready to send.
Archer, in collaboration with J.P. Morgan, seeks an experienced Associate or Vice President to join the Quantitative Trading & Research team in London.
You will contribute to the Credit Portfolio Group by developing analytics for CVA and FVA, and building scalable, production-grade solutions in a data-driven environment. The role emphasizes hands-on implementation, collaboration with traders and risk managers, and advancing AI/machine learning techniques to improve pricing, risk, and portfolio
Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
Quantitative Trading & Research (QTR) is an expert quantitative modelling group in J.P. Morgan. As a global team, QTR 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.
We are seeking an experienced Associate or Vice President to join our Quantitative Trading & Research (QTR) team in London. Our mission is to develop analytics for the Credit Portfolio Group (CPG) which sits within the Markets division of the Commercial and Investment Bank (CIB).
CPG is responsible for managing the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies. The group develops and maintains a large-scale Monte-Carlo engine in order to effectively manage these adjustments. Advanced numerical and computational techniques are used to achieve this including the use of Adjoint Analytic Differentiation (AAD).
As an Associate or a Vice President in the Quantitative Trading & Research – Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques. This is a hands‑on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable, efficient, production-grade solutions. As such, a strong quantitative background is not a key requirement for this role.
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 FAQs for more information about requesting an accommodation.
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.