Head of Quantitative Research & AI Strategy

Head of Quantitative Research & AI StrategyCompany OverviewOur client is an established financial services organization seeking an experienced quantitative investment professional to support strategic research, advanced analytics, and the development of innovative investment methodologies.This opportunity offers the chance to work alongside experienced investment professionals, contribute to complex investment research initiatives, and help evaluate how emerging technologies and sophisticated analytical approaches can enhance investment decision-making.Location, Compensation & BenefitsChicago, IL (Hybrid)$$: 350k-450k total cash (base + bonus)Comprehensive benefits packageWhy This OpportunityJoin an established financial services organization with a sophisticated investment platformContribute to high-impact quantitative research and investment strategy initiativesApply advanced mathematical, statistical, and analytical techniques to complex investment questionsWork alongside experienced investment professionals and senior leadershipEvaluate how emerging technologies can improve investment research and decision-makingBring new perspectives from quantitative investing, systematic strategies, and other analytical investment disciplinesPosition OverviewThe Head of Quantitative Research & AI Strategy will play a senior role in advancing the organization's quantitative research capabilities and evaluating applications of emerging analytical technologies within its investment platform.This individual will leverage experience in quantitative finance, investment research, statistical modeling, and emerging technologies to identify opportunities for improving investment analysis and research methodologies.Working closely with investment professionals and other internal stakeholders, the successful candidate will develop research frameworks, evaluate analytical techniques, and translate complex quantitative findings into actionable insights.The position requires a combination of technical expertise, investment knowledge, intellectual curiosity, and the ability to communicate sophisticated concepts to both technical and nontechnical audiences.Key ResponsibilitiesLead and contribute to quantitative investment research and advanced analytical initiativesDevelop and evaluate statistical, mathematical, and data-driven approaches to investment analysisDesign research frameworks to investigate complex financial and investment questionsAnalyze financial data, market conditions, investment characteristics, and potential outcomesDevelop quantitative models to support investment research and decision-makingEvaluate investment risks, returns, performance characteristics, and other relevant financial metricsExplore applications of machine learning, artificial intelligence, and advanced computational techniquesAssess the effectiveness, limitations, and practical applications of emerging analytical technologiesIdentify opportunities to improve existing investment research methodologiesCollaborate with investment professionals to understand research requirements and analytical challengesInvestigate relationships between financial variables and investment performanceEvaluate new datasets, analytical tools, and research methodologiesApply systematic research techniques to investment-related questionsQualificationsSignificant experience in quantitative investment research, systematic investing, quantitative strategy development, or a closely related investment disciplineBackground within investment management, hedge funds, quantitative investment firms, proprietary trading, financial institutions, or other sophisticated investment environmentsStrong understanding of quantitative research methodologies and their practical application to financial markets and investment analysisDemonstrated experience developing or evaluating investment research through statistical, mathematical, or data-driven approachesAbility to evaluate complex financial information and identify meaningful relationships, risks, and opportunitiesStrong interest in artificial intelligence, machine learning, and emerging analytical technologiesAbility to assess new research techniques and technologies critically rather than relying exclusively on theoretical applicationsBroad understanding of investment research and the factors influencing investment performance