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About the Role
This role supports quantitative modelling and analysis across investment strategy, asset allocation, portfolio construction, and risk monitoring. It offers exposure to a wide range of asset classes and the opportunity to develop quantitative capabilities and portfolio management understanding.
Responsibilities
- Analyze global equities, fixed income, credit, commodities, currencies, and alternative asset classes.
- Contribute to strategic, dynamic, and tactical asset allocation research.
- Assess valuations, macroeconomic conditions, and different market regimes.
- Help translate quantitative signals and research into practical investment recommendations.
- Undertake portfolio construction, scenario, factor, and risk analysis.
- Maintain performance attribution for multi-asset model portfolios.
- Analyze and explain the investment drivers behind portfolio performance.
- Support the development, testing, and refinement of proprietary investment models.
- Research valuation, technical, macroeconomic, risk, and other relevant investment signals.
- Use quantitative analysis to identify insights that can support investment decision-making.
- Help produce clear and engaging investment commentary, charts, and analysis.
- Present quantitative findings in a way that is accessible to investment committees and internal and client-facing audiences.
- Maintain quantitative models and dashboards, using Python and Excel to implement research efficiently and robustly.
- Maintain high standards of data quality.
- Help automate and improve the team's quantitative research processes and infrastructure.
Requirements
- 1 to 3 years' experience in quantitative analysis, ideally within a multi-asset investment environment such as wealth management or asset management.
- Experience of quantitative modelling, preferably within financial markets or investments.
- A good understanding of global financial markets, asset classes, and the factors that drive multi-asset returns.
- An understanding of portfolio construction, asset allocation, investment risk, performance attribution, and economic theory.
- Excellent analytical and problem-solving skills, combined with strong attention to detail.
- The ability to interpret quantitative outputs within an investment context rather than relying on models mechanically.
- Strong written and verbal communication skills, with the ability to explain analysis clearly to different audiences.
- A good understanding of the UK wealth management market.
- The CFA qualification, or working towards the CFA designation.
- Experience using financial databases such as Bloomberg or FactSet, or a strong ability to learn new platforms quickly.
- Experience building or working with browser-based dashboards.
- Relevant financial services internships or work experience.
Skills
- Quantitative analysis
- Python
- Excel
- Global financial markets
- Asset classes
- Multi-asset investing
- Portfolio construction
- Asset allocation
- Investment risk
- Performance attribution
- Economic theory
- Analytical skills
- Problem-solving skills
- Attention to detail
- Written communication skills
- Verbal communication skills
- UK wealth management market
- CFA qualification
- Bloomberg
- FactSet
Experience Level
- 1 to 3 years
Education Level
- Degree in a relevant discipline
About the Company
- We are looking for someone who is curious about markets, comfortable with data and motivated to understand the "why" behind investment outcomes.
- You'll enjoy solving problems, challenging assumptions and using quantitative techniques to generate investment insight. Just as importantly, you'll be able to communicate your conclusions clearly and work collaboratively within a broader investment team.
- For the right individual, this role offers the opportunity to build broad experience across quantitative research, asset allocation, portfolio construction and investment strategy within a multi-asset environment.