Investment Strategy Manager – Quantitative & Systematic Macro Research

Job Description

Investment Strategy Manager – Quantitative & Systematic Macro Research Lead the research, development and implementation of systematic macro investment strategies, combining investment research, quantitative modeling, financial markets analysis, portfolio risk management and advanced technology. The position is responsible for developing investment methodologies, designing quantitative research frameworks, overseeing analytical and technological infrastructure, and applying advanced computational and AI-enabled tools to investment research and strategy development. The role requires a combination of extensive financial markets experience, advanced quantitative expertise, investment risk management capabilities and the ability to lead complex technology-driven research initiatives. Key Responsibilities Investment Strategy Development: Lead the conception, research and development of systematic investment strategies, establishing the underlying investment methodology, analytical framework and long-term research direction. Quantitative Research and Modeling: Design, develop and evaluate quantitative financial models and analytical methodologies to support investment research, market analysis and systematic strategy development. Macroeconomic and Financial Markets Research: Conduct independent research across global financial markets and asset classes, incorporating macroeconomic developments, market dynamics and financial data into investment research and strategic decision-making. Research Infrastructure and Technology: Define the architecture and technical direction of quantitative research systems, including data processing, analytical tools, model optimization, automated research and backtesting infrastructure. Portfolio and Risk Management: Develop and oversee investment risk management methodologies, quantitative risk analysis, model evaluation and portfolio-level risk controls to support disciplined investment implementation. AI and Technology Integration: Leverage advanced artificial intelligence tools and technologies to accelerate quantitative research, software development, analytical processes and implementation of complex investment systems. Project Leadership and Coordination: Lead multidisciplinary research and technology initiatives, coordinate with senior management, technical specialists, and translate complex investment and analytical requirements into practical development objectives. Required Qualifications Master's degree or higher in Applied Mathematics, Mathematics, Statistics, Finance, Economics, Financial Engineering or another relevant quantitative discipline. Strong understanding of financial markets, investment products, quantitative finance and financial risk management. Advanced analytical, mathematical and statistical capabilities, with experience applying quantitative methods to financial and investment problems. Proficiency in Python or comparable programming and analytical technologies used in financial modeling and quantitative research. Strong understanding of investment research methodologies, financial modeling, portfolio analysis and risk management. Ability to define technical requirements, oversee complex analytical and software development projects, and coordinate multidisciplinary teams. Strong strategic thinking, independent research and problem-solving capabilities. Relevant Professional Experience At least 10 years of progressively senior experience in quantitative investment research, investment strategy, asset management, investment banking, financial modeling or financial risk management. Demonstrated experience in developing, implementing or overseeing sophisticated quantitative financial models and systematic investment research methodologies. Substantial experience analyzing financial markets, investment products, portfolio risks and complex financial instruments. Experience leading large-scale quantitative research, analytical or technology development initiatives. Experience integrating advanced analytical technologies, automation and AI-enabled tools into financial research or investment-related processes. Ability to combine investment expertise, quantitative analysis and technological capabilities in the development of institutional-grade investment solutions. #J-18808-Ljbffr Show More