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Global Multi-Strategy Investment Firm

Equities Long/Short, Macro, Equities Arbitrage, Credit, Commodities, and Growth Equity.

Asset Management

800+ Employees

Our client is a global multi-strategy investment firm that continuously seek to enhance their research process, implement better tools and technology, and test new investment ideas that will enable their global investment teams to identify trends, uncover new insights, navigate volatility, and capture market opportunities that other firms miss. Their investment platform spans across multiple strategies: Equities Long/Short, Macro, Equities Arbitrage, Credit, Commodities and Growth Equity. Our client has built a collaborative company culture that empowers their team to reach their highest potential through access to stakeholders and leadership, providing industry-leading tools and technology, and continued learning and development programmes. They employ a diverse group of ambitious, innovative, and deeply knowledgeable individuals with different backgrounds and perspectives to generate more creative and profitable investment opportunities.

Role Summary

Required Skills and Experience

• Educational Background: We encourage candidates with a Bachelor's or Postgraduate degree in Computer Science, Mathematics, Statistics, Data Science, or related fields to apply. We value diverse educational backgrounds.
• Strong Analytical and Data Processing Skills: Proficiency in Python and SQL is essential for data analysis and processing tasks.
• ETL and Data Analysis: Proficiency in data ETL (Extract, Transform, Load) processes and analysis using libraries such as Pandas and NumPy is crucial.
• Cloud Architecture Experience: Familiarity with cloud architecture, including AWS, Airflow, and Kubernetes, is a core requirement for this role.
• Data Visualization Proficiency: Knowledge of data visualization tools, preferably Plotly Dash, is essential for creating informative and engaging dashboards.
• Experience with Geospatial Data: Candidates with experience in handling geospatial data will be highly regarded.
• Self-Starter and Results-Driven: We value individuals who exhibit a proactive, results-oriented approach to their work. This role requires a strong desire to learn, adaptability, and the ability to think creatively.

Key Role Responsibilities

• Identify, Ingest, and Analyse Diverse Datasets: This role involves working with a wide range of datasets, including alternative data sources. Responsibilities include data cleaning, organization, tagging, and indexing to ensure data accuracy and relevance.
• Develop and Maintain Data Pipelines: You will be responsible for building and sustaining data pipelines, ensuring the efficient flow of data within our systems.
• Create and Manage Visualization Dashboards: Your role will require the development and upkeep of visualization dashboards, making data insights accessible and understandable for stakeholders.
• Analyse Industry Metrics: Identifying and analysing industry-specific metrics will be a key aspect of this role, contributing to informed decision-making.