Our client, a top tier globally leading hedge fund, has mandated us to find a highly motivated Data Scientist to join their team at the intersection of cutting-edge analytics and dynamic financial markets.
In this role, you'll partner closely with portfolio managers and analysts to build advanced data solutions, inform key investment strategies, and directly impact performance. As part of a global team of data analysts, data scientists, and content experts, you’ll collaborate across geographies to deliver impactful results.
Key Responsibilities
Investment Team Engagement & Support
* Serve as the primary point of contact for investment teams regarding a suite of data products, with a focus on alternative and financial datasets.
* Proactively train, guide, and support investment teams on the effective use of data-driven products, ensuring high adoption and satisfaction.
* Gather feedback from stakeholders and continuously improve internal knowledge bases, documentation, and training resources.
Data Analysis & Modeling
* Source, wrangle, and analyse large datasets—including alternative datasets like satellite imagery, web-scraped data, and credit card insights—to uncover actionable investment signals.
* Develop predictive models utilizing structured and unstructured data (e.g., time-series, text-based, event-based) to drive research insights.
* Collaborate with cross-functional teams to automate data pipelines using Python, SQL, and relevant workflow tools (e.g., Airflow, Git, AWS).
Product & Process Improvement
* Partner with stakeholders (Investment Teams, Engineering, Product) to develop, implement, and maintain data products that enhance portfolio performance.
* Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
* Identify innovative techniques and emerging technologies (e.g., Generative AI, machine learning, NLP, cloud computing) to keep the team at the forefront of analytics.
Collaboration & Continuous Growth
* Collaborate with a global network of data professionals to share best practices and maintain consistency in data science approaches.
* Drive continuous improvement by suggesting new features and enhancements based on user feedback and industry trends.
Qualifications & Requirements
Education & Experience
* 3–6 years of professional experience in data science, analytics, or a related field.
* Bachelor’s/Master’s degree in Mathematics, Engineering, Economics, Computer Science, or a related discipline.
Technical Proficiency
* Expertise in Python for data manipulation and modeling, along with strong SQL skills for database querying.
* Solid understanding of time-series data, financial data structures, and alternative datasets.
* Hands-on exposure to Large Language Models (LLMs) is a plus.
* Familiarity with AWS, Git, Airflow (or similar orchestration tools) is a strong plus.
Client-Centric Mindset
* Experience working with investment professionals in high-stakes environments.
* Outstanding communication skills with the ability to bridge the gap between technical depth and business relevance.
* Strong organizational habits, attention to detail, and stakeholder management skills.
Additional Attributes
* Creative problem solver with a track record of troubleshooting challenging data issues.
* Self-motivated, eager to learn, and open to new technologies and methodologies.
If you're passionate about driving impactful data solutions in the world of investment and finance, we’d love to hear from you!