Company Description

Fin Venture Capital provides strategic management and finance consultancy alongside tailored educational and training programs. The firm partners with organizations seeking data-driven financial insights and innovative capital solutions. Its advisory services focus on enhancing decision-making, risk management, and long-term value creation. Fin Venture Capital also invests in developing quantitative capabilities and leadership within its clients through custom training and capability-building initiatives. Role Description The Chief Quantitative Officer is a full-time, remote leadership role responsible for overseeing all quantitative research, modeling, and data-driven decision support at Fin Venture Capital. This role leads the design, implementation, and validation of quantitative models that inform investment strategies, risk management frameworks, and financial advisory solutions. The Chief Quantitative Officer collaborates with leadership, consultants, and training teams to translate complex analytics into clear recommendations and educational materials for clients. Day-to-day tasks include supervising quantitative analysts, setting modeling standards, reviewing research outputs, ensuring robust data governance, and developing tools that enhance portfolio optimization, scenario analysis, and forecasting. The role also involves staying current with advances in quantitative finance, guiding technology and data infrastructure choices, and presenting findings to internal and external stakeholders in a concise, accessible manner.

Qualifications

Strong expertise in quantitative finance, including financial modeling, portfolio optimization, and risk analytics. Proficiency in statistical analysis and econometrics, with experience applying these methods to real-world financial data. Advanced skills in programming and data tools (e.g., Python, R, MATLAB, SQL) for model development, testing, and deployment. Experience designing and validating models for valuation, forecasting, stress testing, and scenario analysis. Demonstrated leadership in managing quantitative teams and setting methodological and quality standards. Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences. Familiarity with capital markets, investment strategies, and regulatory considerations related to quantitative models. Background in developing training content or educational programs in finance or analytics is a plus. Master’s or PhD in a quantitative discipline such as Finance, Mathematics, Statistics, Data Science, or a related field. Comfort working in a remote environment, with strong self-management, collaboration, and documentation practices.