Quantitative Trading & Research – Credit Portfolio – Vice President at JPMC Candidate Experience page

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Monte Carlo Simulation, Credit Valuation Adjustment, Funding Valuation Adjustment, Adjoint Analytic Differentiation, Quantitative Research, Software Engineering, Algorithm Design, Risk Management, Financial Derivatives, Data Analysis, Machine Learning, Artificial Intelligence, System Architecture, Stakeholder Management, Mentoring

Industry

Financial Services

Description

Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm’s credit and funding valuation adjustments (CVA and FVA), which are critical to the bank’s risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research – Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoten business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities: * Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. * Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. * Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. * Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. * Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. * Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills: * Solid experience within a quantitative role in finance * Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics * Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. * Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management * Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. * Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards * Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills: * Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science * Markets experience and familiarity with general trading concepts and terminology * Knowledge of options pricing theory, trading algorithms or financial regulations * Experience with robust testing and verification practices 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 [https://careers.jpmorgan.com/us/en/how-we-hire/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.

Responsibilities

Design and enhance large-scale Monte Carlo simulation engines for CVA and FVA calculations while implementing advanced numerical techniques for risk sensitivity. Partner with traders and risk managers to deliver analytical solutions and drive the firm's transformation into a data-driven business.