A leading investment management firm in London is looking for a Data Scientist to join their Equity Investment Team. The role involves integrating alternative data and analytics into investment strategies to generate alpha, working closely with portfolio managers and analysts.

Key Responsibilities:

• Lead research efforts with analysts and portfolio managers to integrate alternative data into investment strategies.
• Review reports and attend meetings to refine investment theses and provide new, data-driven insights.
• Analyse alternative datasets, build models, and create actionable signals to forecast key growth drivers and financial performance.
• Deliver data-driven insights to enhance current strategies and generate new investment ideas.
• Identify new data sources and develop predictive signals to uncover key growth drivers.

Requirements:

• 3+ years in data science or quantitative research, preferably in investment management.
• Proficiency in Python, R, or SQL. Experience in machine learning, predictive analytics, and handling large datasets.
• Experience with alternative data (e.g., social media, transaction data, satellite imagery).
• Ability to present complex insights to both technical and non-technical stakeholders.
• Strong team player, able to work cross-functionally with investment teams.

Why Join Them?

• You will have the chance to work alongside top-tier investment professionals and data scientists.
• The ability to apply advanced data science techniques to influence and drive investment strategies.
• Join a collaborative and supportive team where innovation and creativity are encouraged.
• Opportunities to develop your skills in a dynamic and fast-paced industry.
• Gain direct experience working with portfolio managers, analysts, and alternative data sources.

Please apply to