Quant Research, Associate Director

Job title: Quantitative Research Associate Director

Business area: Portfolio Management

Location: London

Who we’re looking for

We’re looking for a creative, technically minded Associate Director in Quantitative Research to join our London-based portfolio management team. In this role you will design and build portfolio analytics and modelling tools (often from the ground up), helping to improve how we analyse private markets portfolios and make better, faster decisions. You’ll work closely with senior investment leadership, combining strong quantitative thinking with practical engineering skills across Excel/Python/VBA/Power BI, and a curiosity for how AI can enhance investment workflows.

About Future Growth Capital

Future Growth Capital is a specialist multi-private assets solutions business focused on unlocking access to private markets for UK pension schemes and savers. Built with the backing of Standard Life and Schroders, we combine an independent, open-architecture investment approach with an institutional-quality operating platform. Our objective is to deliver strong long‑term outcomes for members through disciplined portfolio construction, rigorous analysis and high‑quality implementation.

Future Growth Capital is located in the Schroders HQ at 1 London Wall Place, London EC2Y 5AU
. In terms of flexible working, Future Growth Capital has a fully flexible policy with no mandated office days, though in practice the team is office‑based 4‑5 days per week and in‑person investment due diligence meetings are a key expectation of the role.

The team

You’ll join a collaborative portfolio management team that values curiosity, rigour and practical problem solving. The role suits someone who enjoys combining investment thinking with hands‑on tool building, and who is comfortable working in a fast‑moving environment where priorities evolve.

• Build and enhance portfolio analytics and cashflow models for bespoke private markets portfolios across a range of private asset classes.
• Partner with leading private markets investment managers globally to translate strategy and fund‑level inputs into portfolio‑level cashflow, performance and risk analytics.
• Develop scalable tools and reporting (Excel/Python/VBA/Power BI) that improve portfolio analysis, asset allocation and decision‑making.
• Apply statistical and quantitative methods (e.g., scenario/stress testing, sensitivities, factor and risk analysis) to generate robust insights and validate model outputs.
• Work closely with the Head of Portfolio Strategy and Lead Portfolio Managers to prioritise, deliver and continually improve the team’s modelling capability and analytical toolkit.
• Identify opportunities to use AI‑enabled tools to improve workflows and insights, applying appropriate judgement around model risk and data sensitivity.

• Master’s degree (or higher) in a quantitative discipline (e.g., Financial Engineering, Mathematics, Statistics, Econometrics, Physics, Computer Science, or similar), or equivalent demonstrable quantitative training.
• Strong quantitative modelling capability, preferably in private markets (portfolio analytics, cashflows, risk metrics and scenario/stress testing).
• Advanced tooling skills:
  Excel plus Python and/or VBA; experience producing clear outputs in Power BI (or similar).
• Proven ability to build and deliver new analytical tools end‑to‑end in a fast‑moving environment.
• Interest in applying AI‑enabled tools to improve analysis and automation, with appropriate judgement around model risk and data sensitivity.

• Familiarity with private markets portfolio concepts and performance measurement (e.g., capital calls and distributions, cashflow modelling, liquidity management and metrics such as IRR, DPI and TVPI) and an ability to apply these in analytics and reporting.
• Experience building and maintaining analytical tools or dashboards used by others (including clear documentation and a focus on reliability).
• Experience using AI‑enabled tools to improve analysis, automation or reporting (with appropriate judgement around model…