Investment Strategist

Dubizzle Limited; Greater London; On-site; GBP 70,000 - GBP 90,000; Full time

Job summary

A pan-European digital wealth manager is looking for an experienced Investment Strategist to join their London team. The role involves generating actionable investment ideas backed by data, conducting thematic research, and articulating market views to internal and external stakeholders. Candidates should possess 3-5 years of relevant experience and a Master’s degree in a quantitative discipline. Proficiency in Python or R and strong communication skills are essential. This role offers an opportunity to bridge complex quantitative analysis with practical portfolio strategies.

Qualifications

• 3-5 years of experience in investment research or related fields.
• Advanced skills in Python or R for quantitative analysis.
• Exceptional communication skills to explain complex concepts.

Responsibilities

• Conduct thematic research and identify market trends.
• Generate independent investment ideas and theses.
• Build models to validate investment hypotheses.
• Translate data outputs into investment narratives.
• Analyze portfolio impacts of proposed views.
• Maintain an independent research stack for monitoring signals.

Skills

Investment research

Data analysis

Quantitative modeling

Data visualization

Communication skills

Education

Master’s degree in Finance or related field

Tools

Python

R

SQL

Bloomberg

Refinitiv

Job description

Overview

We are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with more than £5.5 billion invested on our platform. We began in Milan in 2011 with the purpose to help more people improve their financial well-being by making personal investing simple and accessible through technology. Fast forward to today, and we are recognised as one of the most innovative fintechs, headquartered in the heart of London.

With a team of 220+ people across 4 offices in Italy and the UK, we are proudly backed and funded by major partners including Poste Italiane, Cabot Square Capital, United Ventures, and Allianz.

About the role

We are seeking an Investment Strategist to join our team. The successful candidate will be responsible for generating actionable investment ideas and providing the rigorous, data-driven rationale required to support them. Unlike a pure data scientist, you will be expected to "own" your market views, articulating them clearly to both internal investment committees and external stakeholders. You will bridge the gap between complex quantitative analysis and practical portfolio construction.

Key Responsibilities

• Thematic Research: Identify and investigate emerging market trends, structural shifts, and inefficiencies across asset classes
• Independent Idea Generation: Proactively develop "top-down" and "bottom-up" investment theses. You will be expected to bring fresh, non-consensus ideas to the table.
• Quantitative Validation: Build and maintain proprietary models to backtest investment hypotheses. You will provide the "proof" for every view, using factor analysis, regime detection, and econometric modeling.
• Articulating Views: Translate complex quantitative outputs into persuasive investment narratives. This includes writing research notes, white papers, and presenting at weekly investment briefings.
• Portfolio Impact Analysis: Evaluate how proposed views impact total portfolio risk, correlation, and expected return profiles.
• Data Architecture: Maintain an independent research stack (Python/SQL) to automate the monitoring of key investment signals and "early warning" indicators.

Qualifications

• Experience: 3–5 years of experience in investment research, strategy, or portfolio management.
• Education: Master’s degree or higher in a quantitative discipline (Finance, Economics, Mathematics, or Physics).
• Technical Proficiency: Advanced Python or R for data analysis and visualization (Matplotlib, Plotly, Seaborn).
• Expertise in Bloomberg/Refinitiv for data extraction and market monitoring.
• Solid understanding of SQL for handling large financial datasets.
• Market Knowledge: Deep understanding of macroeconomics, capital market assumptions (CMA), and factor-based investing.
• Communication: Exceptional written and verbal communication skills. You must be able to explain R-squared and p-values to a non-technical audience without losing the nuance of the investment view.

Preferred Attributes

• Intellectual Independence: A track record of challenging the "house view" with data-backed evidence.
• Narrative Flair: The ability to find the "story" within the data.
• Pragmatism: An understanding that a model is only as good as its real-world tradability.
• CFA designation or progress toward it is preferred.
• Italian language would be an advantage