Head of Quantitative Research

4 weeks ago

Singapore Kepler Search Full time

A well-funded, high-growth fintech in the Asia-Pacific region seeks a Head of Quantitative Research to join the investment team in a high-impact leadership role. This individual will shape the firm's systematic investment capabilities, oversee portfolio design, drive strategy development, and mentor a team of junior researchers. The role is ideal for a technically strong, hands-on quant professional with a passion for innovation and the ambition to influence the next generation of investment products.

Responsibilities
  • Spearhead the development of systematic, data-driven investment strategies that are scalable, globally diversified, and aligned with client outcomes.
  • Lead the design and ongoing evolution of asset allocation and capital weighting models that align with risk-return objectives across client segments.
  • Apply advanced statistical methods and financial modelling techniques to extract meaningful insights from market and macroeconomic data.
  • Build and maintain a comprehensive suite of risk tools — including stress testing, scenario analysis, and factor attribution — to enhance portfolio resilience.
  • Collaborate with engineering and trading teams to optimize execution efficiency through algorithmic strategies and smart order routing.
  • Provide mentorship and leadership to junior quant researchers, fostering a collaborative culture grounded in rigor, curiosity, and continuous learning.
  • Partner cross-functionally with product managers, advisors, and platform engineers to ensure investment models are integrated seamlessly into client-facing solutions.
Requirements
  • At least 10 years of experience in quantitative research, systematic investing, or portfolio construction, with a proven track record of delivering live strategies.
  • Master's or PhD in Finance, Mathematics, Statistics, Economics, Engineering, or a related quantitative field.
  • Strong programming skills (preferably in Python, R, or MATLAB), with comfort working in a data-intensive environment and building models end-to-end.
  • Deep understanding of portfolio theory, asset pricing, and risk management — with experience applying these frameworks in institutional or digital investment settings.
  • Demonstrated ability to guide and mentor technical teams, contributing both as a leader and an individual contributor.
  • Able to explain complex quantitative concepts to diverse stakeholders, from engineers and product managers to executives and clients.

If you meet the requirements and are interested in the role, please click and apply

EA Licence no. 18S9419


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