Are you ready to drive innovation and shape the future of treasury management? Join our Quantitative Trading & Research team, where your expertise in data analytics and AI will transform the investment bank into a data-driven business. You will collaborate with senior leaders, deliver impactful solutions, and advance your career in a fast-paced, global environment. At J.P. Morgan, you will have ownership over strategic projects, opportunities for growth, and the chance to mentor talented colleagues.
As a Vice President within Quantitative Trading & Research, Markets Treasury, you will lead the design and implementation of advanced models and tools to assess risk and predict P&L. You will drive strategic initiatives using state-of-the-art AI and machine learning, partnering closely with senior stakeholders and technology teams. Your role offers significant ownership of large-scale analytics projects, automation of reporting processes, and delivery of actionable insights. You will serve as a key point of contact across markets and technology, championing innovation and mentoring junior team members in a collaborative, evolving environment.
Job Responsibilities
- Lead the design and delivery of efficient, scalable, and usable frameworks to enhance data analytics capabilities for treasury applications, setting technical direction and best practices for the team
- Own and drive complex data analysis workstreams, identifying and explaining key factors within large sets of financial data, and translating findings into strategic recommendations for senior stakeholders
- Build and maintain strong partnerships with technology teams and business stakeholders to scale analytical frameworks, define optimization strategies, and ensure alignment with broader organizational priorities
- Play a leadership role in transforming and modernizing a global investment bank, championing innovation and influencing the adoption of data-driven decision-making across the franchise
- Represent the team in senior forums, steering committees, and cross-functional working groups, articulating complex analytical concepts with clarity and authority
Required Qualifications, Capabilities, and Skills
- Solid experience within a quantitative role in finance
- Advanced degree or equivalent 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.
- Strong quantitative and problem-solving skills with the ability to navigate ambiguity and drive clarity in complex, multi-dimensional problems
- Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management
- Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards
- Substantive markets experience with a solid understanding of trading concepts, terminology, and the broader investment banking landscape
- 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
- Experience writing high-quality Java code in a professional or production setting
- Strong understanding of a bank's balance sheet, treasury operations, and/or demonstrated experience with financial optimization problems
- Deep knowledge of the different types of financial risk, with the ability to articulate and implement strategies for managing these risks effectively