Director - Quantitative Analytics

Role Overview

The Director – Quantitative Analytics will lead a high-performing quantitative analytics function supporting complex financial products, risk management, pricing, trading, and strategic analytics. The role will be responsible for developing and enhancing advanced quantitative models, analytics platforms, and data-driven solutions across asset classes, while partnering closely with global Trading, Risk, Technology, and business leadership.

Key Responsibilities

• Lead the development, implementation, and enhancement of quantitative models and analytics for pricing, valuation, risk management, forecasting, and portfolio analytics.
• Drive quantitative solutions across Fixed Income, Credit, Equities, FX, Derivatives, Structured Products, and/or other asset classes, depending on business requirements.
• Lead the design of sophisticated Monte Carlo simulation, stochastic modelling, numerical methods, optimization, and statistical techniques.
• Partner with Trading, Structuring, Risk, Treasury, and Technology teams to translate complex business requirements into scalable quantitative solutions.
• Develop and optimize quantitative analytics engines using Python, C++, R, or other relevant programming languages.
• Lead model development, implementation, documentation, testing, and ongoing performance monitoring in accordance with model risk and governance standards.
• Establish quantitative methodologies, frameworks, standards, and best practices across the organization.
• Lead strategic quantitative initiatives involving new products, regulatory requirements, risk
• Build and manage high-performing quantitative teams.
• Mentor senior quantitative talent and establish a strong pipeline of technical and leadership capabilities.
• Communicate complex quantitative concepts and model outcomes effectively to senior business, risk, and technology stakeholders.

Required Experience & Qualifications

• 12+ years of experience in Quantitative Analytics, Quantitative Research, Financial Engineering, Risk Modelling, or related fields, with significant leadership experience.
• Advanced degree in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, Economics, or a related quantitative discipline; PhD preferred for research-intensive roles.
• Proven experience leading quantitative teams and delivering complex modelling or analytics platforms at scale.
• Strong programming expertise in Python and/or C++; experience with R, Java, or other quantitative technologies is advantageous.
• Experience across multiple asset classes / Cross-Asset Quantitative Analytics.