
at Schroders
Asset ManagementPosted 4 days ago
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**Quant Research, Associate Director (Portfolio Management) - London** - Design, build portfolio analytics & modelling tools (Excel/Python/VBA/Power BI) for bespoke private markets portfolios. - Collaborate with global investment leadership to develop decision-making tools and enhance portfolio analysis. - Apply quantitative methods to scenarios, stress testing, factor analysis, and AI-enabled tools. - Master's degree in quantitative discipline, advanced Excel and Python skills, proven ability to deliver new analytical tools. - Experience in cashflow modelling, risk analysis, and familiarity with private markets portfolio concepts.
- Compensation
- Not specified GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
Location: London, United Kingdom
- 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 teams 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.The knowledge, experience and qualifications you need
- Masters 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.The knowledge, experience and qualifications that will help
- 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 risk and data sensitivity).Proficiency with advanced Power BI capabilities (e.g., Power Query, DAX, and data modelling) or equivalent visualisation tooling.What youll be like
- You enjoy solving ambiguous problems and can break them down into practical steps and deliverables.You can explain technical work clearly to non-technical stakeholders, including model assumptions, limitations and trade-offs.You work well with senior stakeholders and are comfortable asking questions, challenging respectfully and incorporating feedback.Youre curious and keep learningespecially as tools and best practices evolve.We recognise potential, whoever you areOur purpose is to provide excellent investment outcomes for clients through active management. Diversity of thought, supported by an inclusive culture, helps us make better decisions and better achieve our purpose. We are an equal opportunities employer and welcome applications regardless of age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background or any other protected characteristics.Apply now
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Quantitative Research Associate Director
Compensation
Not specified GBP
City: London
Country: United Kingdom
ExperiencedNo visa sponsorship**Quant Research, Associate Director (Portfolio Management) - London** - Design, build portfolio analytics & modelling tools (Excel/Python/VBA/Power BI) for bespoke private markets portfolios. - Collaborate with global investment leadership to develop decision-making tools and enhance portfolio analysis. - Apply quantitative methods to scenarios, stress testing, factor analysis, and AI-enabled tools. - Master's degree in quantitative discipline, advanced Excel and Python skills, proven ability to deliver new analytical tools. - Experience in cashflow modelling, risk analysis, and familiarity with private markets portfolio concepts.
Full Job Description
Location: London, United Kingdom
Business area: Portfolio ManagementJob title: Quantitative Research Associate DirectorBusiness area: Portfolio ManagementLocation: LondonWho were looking forWere 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. Youll 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 CapitalFuture 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.Location/flexible workingFuture 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 teamYoull 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.What youll do- 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 teams 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.The knowledge, experience and qualifications you need
- Masters 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.The knowledge, experience and qualifications that will help
- 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 risk and data sensitivity).Proficiency with advanced Power BI capabilities (e.g., Power Query, DAX, and data modelling) or equivalent visualisation tooling.What youll be like
- You enjoy solving ambiguous problems and can break them down into practical steps and deliverables.You can explain technical work clearly to non-technical stakeholders, including model assumptions, limitations and trade-offs.You work well with senior stakeholders and are comfortable asking questions, challenging respectfully and incorporating feedback.Youre curious and keep learningespecially as tools and best practices evolve.We recognise potential, whoever you areOur purpose is to provide excellent investment outcomes for clients through active management. Diversity of thought, supported by an inclusive culture, helps us make better decisions and better achieve our purpose. We are an equal opportunities employer and welcome applications regardless of age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background or any other protected characteristics.
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