We are seeking a highly skilled and motivated individual to join our Credit Quantitative Trading team, part of the wider JPMorgan Quantitative Trading and Research organization. This is a unique opportunity to work with credit products such as corporate bonds, credit indices, and fixed income ETFs globally. You will be involved in multiple building blocks of an algo, from factor models, risk management, to optimizing transaction cost and balance sheet. You will build signals that inform algo and trading to maximize JPM's competitiveness in credit systematic trading, and be accountable for revenue generation and market ranking.

Job Summary:

As a Vice President on our Credit Quantitative Trading team, you will have the opportunity to collaborate with cross-functional teams to enhance our trading strategies and decision-making processes. This role is central to enabling global credit trading to rely on algorithms to execute increasingly larger size credit products, following the broader shift across the industry. This involves a scientific exploration of innovative techniques, with a focus on developing and deploying proven results in a production setting end-to-end.

Job Responsibilities:

• Design, implement, and backtest signals using various innovative approaches in models and analytics for corporate bonds and indices.
• Use data-driven approaches to analyze drivers of P&L, flow, and ranking.
• Analyze market trends and large datasets, translating them into actionable insights using various methodologies relevant to the projects.
• Collaborate with market makers, traders, and other stakeholders to support trading activities and strategies

Required Qualifications, Capabilities, and Skills:

• A post-graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer Science) with hands-on experience in statistical modeling.
• Minimum 3 to 5 years of experience in a quantitative research or related role within the financial industry.
• Excellent analytical skills with a keen attention to detail and a systematic approach to problem-solving, with a willingness to explore new ideas.
• Ability to work collaboratively in a fast-paced, dynamic environment, while also demonstrating independent thinking and exceptional organizational capabilities.
• Strong communication skills to effectively convey complex concepts to non-technical stakeholders.

Preferred Qualifications, Capabilities, and Skills:

• Strong knowledge of corporate credit, fixed income markets, and ETFs market making, with knowledge of various statistical and quantitative methods to solve problems.
• Familiarity with automated trading systems and event-driven predictive signal research.
• Experience analyzing large datasets using modern AI/ML techniques