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About the Role

We are looking for someone who can think like an investor and build like a quant, combining portfolio construction and optimisation expertise with the modelling, mathematics and coding capability to turn investment ideas into evidence-led strategies. This is a unique role at the intersection of investment strategy, portfolio construction, quantitative research and technology.

Responsibilities

Lead sophisticated quantitative research across investment strategy, portfolio construction and long-term fund design.
Develop and challenge capital market assumptions, strategic asset allocation frameworks and investment methodologies.
Research how economic, market and investment factors could influence future portfolio behaviour and long-term investment outcomes.
Use historical market, portfolio and investment data to understand previous outcomes, test assumptions and inform future strategy.
Apply statistical analysis, optimisation, stochastic modelling and scenario techniques to complex investment problems.
Build research around long-term customer needs, including retirement spending, sequencing risk, changing spending patterns and future investment risk.
Turn quantitative findings into clear, evidence-led investment recommendations.
Develop quantitative frameworks for strategic asset allocation, portfolio optimisation and long-term portfolio construction.
Evaluate potential investment strategies across different economic, market and customer scenarios.
Investigate the interaction between asset classes, investment factors, diversification, risk and expected returns.
Challenge existing portfolio design and use quantitative evidence to identify where alternative approaches may improve outcomes.
Translate complex quantitative analysis into practical investment strategies and fund design decisions.
Design, build and maintain sophisticated Python-based investment models and analytical tools.
Take investment research from initial hypothesis and prototype through to robust, repeatable and well-governed modelling capability.
Build scalable frameworks for portfolio optimisation, scenario modelling, strategic asset allocation and long-term outcome analysis.
Enhance the team's quantitative infrastructure, automation and analytical capabilities.
Ensure models are transparent, appropriately documented, validated and capable of standing up to technical and investment challenge.
Act as a senior technical authority across quantitative investment research, modelling and portfolio construction.
Bring intellectual challenge to existing methodologies and identify where new approaches, techniques or tools could improve investment decision-making.
Help define and shape the team's longer-term quantitative research agenda.
Coach colleagues and raise quantitative capability across the wider team.
Communicate sophisticated investment and quantitative concepts clearly to technical specialists, investment professionals and senior stakeholders.

Requirements

Significant experience within asset management, investment solutions, multi-asset investing, quantitative investment research or a closely related investment environment.
Deep understanding of portfolio construction, asset allocation, optimisation and investment risk.
A highly quantitative background, with strong applied mathematics, statistics and modelling capability.
Strong programming skills, particularly Python, with experience building sophisticated financial models and analytical tools.
Experience applying techniques such as portfolio optimisation, stochastic modelling, Monte Carlo simulation, statistical modelling, factor analysis and scenario analysis to real investment problems.
The ability to take an investment question through the complete journey from hypothesis → research → model → evidence → investment recommendation.
Strong investment judgement, including an appreciation of the assumptions and limitations behind quantitative models rather than treating model outputs as the answer.
The credibility to challenge thinking and communicate highly technical concepts to both investment specialists and senior non-technical stakeholders.
Experience in strategic asset allocation and capital market assumptions.
Experience in multi-asset investing or investment solutions.
Experience in quantitative portfolio construction and optimisation.
Experience in systematic or factor-based investment research.
Experience in retirement, decumulation or customer outcome modelling.
Experience in scenario and stochastic modelling.
Experience with production-quality investment research tools.
Experience in long-term fund or investment proposition design.

Skills

Portfolio construction
Optimisation
Modelling
Mathematics
Coding
Quantitative research
Python
Statistical analysis
Stochastic modelling
Scenario analysis
Capital market assumptions
Strategic asset allocation
Investment methodologies
Monte Carlo simulation
Factor analysis

Location

London
Edinburgh
Birmingham

Work Type

Permanent
Flexible working (office/home hybrid)

Experience Level

Senior

Education Level

Postgraduate qualification in mathematics, statistics, physics, engineering, computer science, quantitative finance or financial engineering, or equivalent expertise.

Salary/Compensations

£120,000+

Benefits

Discretionary competitive bonus
Private medical cover
38 days annual leave
Excellent pension
12x salary life assurance
Career breaks
Income protection
3x volunteering days

About the Company

Standard Life is a retirement specialist focused entirely on retirement savings and income.
We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.
Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices.
We offer our colleagues flexibility, trust and benefits that work for whatever life brings.
In return we expect curiosity, connection, accountability and high standards.
We make room for what matters - so you can bring your best, every day.
Investment Strategy & Fund Design sits at the heart of how we research, design and evolve long-term investment solutions for our policyholders.

Equal Opportunity

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds.
If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.
If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.