Quantitative Researcher, Portfolio Finance

Location: New YorkDepartment: TreasuryExperience Level: Experience ProfessionalsContact: Brian TrombinoJob ID: REQ8240The Quantitative Researcher will work at the intersection of Balyasny’s Portfolio Finance and Delta One activity, with responsibility across portfolio optimization, excess cash deployment, financing analytics, and tool development. The successful candidate will play an important role in advancing the team’s capabilities in: Financing optimizationCarry and financing attributionBalance sheet and working capital analysisTrading P&L and risk reportingFinancing market monitoringKey ResponsibilitiesBuild and enhance tools and reporting frameworks to support portfolio optimization Develop and refine methodologies for carry attribution Analyze and report on balance sheet usage, margin utilization and capital efficiency. Support portfolio optimization and EFP trade generation efforts Monitor financing markets, counterparty terms, and market structure Partner closely with Delta One, Trading, Operations, Treasury Technology Contribute to broader Treasury initiatives Qualifications and Experience2 or more years of experience in a quantitative, analytical, or technical role within Portfolio/Equity finance, Delta One, or Treasury Strong programming and data skills, particularly in Python and SQL, with experience building analytical tools, reports, or data workflows. Solid understanding of one or more of the following areas: Knowledge of equity finance Knowledge of Delta One products Experience with financing and margin mechanics, balance sheet usage, and working capital optimizationExperience with P&L and risk attribution Strong sense of ownership and an entrepreneurial, solutions-oriented approach Excellent communication skills, with the ability to work effectively across teams Proven ability to build productive internal and external relationships. Preferred QualificationsExperience using AI-enabled development or productivity tools in a practical business environment. Computing or Mathematical academics preferred