Global Capital Markets Strat - Strats - Associate / Vice President

Responsibilities

• Perform data-driven analysis to provide strategic insights into industry trends, deal opportunities and client strategies.
• Leverage AI and advanced analytics to improve processes such as transaction analytics, deal screening, capital markets monitoring, and client deliverables.
• Drive AI usage and adoption by being a trusted in-house expert on best ways to deploy AI solutions to bankers and clients.
• Work closely with sector coverage, derivatives coverage, and syndication teams to deliver differentiated quantitative analysis for client pitches and live transactions.
• Build and maintain software tools, dashboards, and analytics platforms that enhance efficiency in client pitches, transaction execution, and internal reporting.
• Design and develop scalable software libraries, data pipelines, and analytical frameworks to support capital markets analytics.
• Own the lifecycle of data products, including data sourcing, architecture design, model implementation, and visualization.
• Communicate and manage strategic projects for senior bankers and leadership across regions, industry groups, and product teams.

Requirements / Qualifications

• Team player able to work effectively with coworkers (junior and senior), across regions, and industry verticals.
• Bachelor’s or advanced degree in Mathematics, Computer Science, Engineering, Statistics, Finance, Economics, or a related quantitative discipline.
• 4-+ years of work experience.
• Strong understanding of capital markets products, valuation, capital structure, and financing transactions.
• Proficiency in programming languages, such as Python, R, SQL, or Java.
• Experience with kdb+/q or other high-performance data systems is an advantage.
• Familiarity with front-end development languages and frameworks such as React.
• Experience working with large datasets and time-series financial data.
• Familiarity with AI/ML techniques and AI-assisted development tools is a plus.
• Excellent quantitative reasoning, statistical intuition, and problem-solving ability, with the ability to work under tight deadlines and manage multiple priorities.
• Strong communication skills with the ability to translate complex quantitative ideas into clear business insights.
• Demonstrated ability to manage projects and collaborate across global teams.
• Strong attention to detail and commitment to risk management, governance, and ethical conduct.
• Be able to present complex ideas and associated costs for alternative solutions.
• Act as a leader and role model to the team and others in the division.
• Ensure risk is mitigated through documented process controls and adherence to escalation matrices.