About the Role

As the Data Science Lead for Investment Analytics, you will oversee advanced analytical initiatives supporting investment strategy, portfolio intelligence, and research-driven decision frameworks. You will lead the design and deployment of predictive, econometric and machine-learning models across asset classes while driving innovation in data-driven investment tooling. This role offers the opportunity to shape analytics strategy, influence enterprise data architecture and work closely with investment leadership across global markets.

Key Responsibilities

• Lead the development and governance of advanced analytical frameworks focused on forecasting, portfolio optimisation, attribution analysis and risk-adjusted return modelling
• Oversee the implementation of machine learning, AI-driven analytics, NLP and alternative data solutions to enhance investment decision-making and market insight
• Partner with investment, research, data engineering and product teams to align analytical outputs with firmwide strategy and investment priorities
• Design and optimise model lifecycle workflows—including hypothesis development, feature engineering, model training, validation, and performance monitoring
• Evaluate sourcing, integration and usage of traditional, proprietary and alternative datasets (market, transactional, behavioural and macroeconomic)
• Provide thought leadership through research publications, methodology documentation, testing frameworks and analytics governance
• Manage and mentor a high-performing team of data scientists, quantitative analysts and research engineers
• Drive continuous innovation in tooling, modelling techniques, automation and operational model stability
• Support executive decision-making by presenting insights, scenario analysis and forward-looking analytics in a clear and actionable manner

Growth & Leadership

This role offers a platform to shape the strategic direction of analytics capability, influence technology and data investment decisions, and represent analytics leadership within enterprise governance forums. You will help define future capability roadmaps, talent strategy and innovation pillars within the investment analytics function.

Culture & Collaboration

You will join an environment that values curiosity, analytical rigor, and collaborative problem-solving. Working cross-functionally with investment leaders, technologists and data specialists, you will help integrate advanced analytics into strategic investment intelligence and operational excellence.

Who You Are

• Strong academic background (Master’s or PhD) in Data Science, Machine Learning, Quantitative Finance, Statistics, Computer Science or related quantitative discipline
• 10–14+ years of experience in data science, quantitative analytics, AI/ML modelling or investment analytics, with at least 4+ years in a leadership role
• Deep expertise with statistical modelling, ML frameworks, NLP techniques, time-series forecasting and large-scale data architecture
• Strong technical proficiency in Python, R or similar languages, as well as exposure to cloud analytics platforms (AWS, Azure, GCP) and distributed computing
• Familiarity with financial markets, investment products, multi-asset modelling and portfolio analytics frameworks
• Proven track record building and scaling data science teams, managing stakeholder expectations and delivering enterprise-grade analytical solutions
• Strong communication skills with the ability to translate technical analysis into clear strategic insights for non-technical investment audiences
• Entrepreneurial mindset, focused on innovation, operational excellence and value creation