2026 Spring Internship - Data Engineer, Proprietary Research

Spring Internship – Data Engineer, Proprietary Research – Key Insights & Skill Breakdown

Context: This spring internship opportunity with a leading financial services firm offers a unique chance to gain hands-on experience as a Data Engineer within the Proprietary Research team. As the financial industry continues to evolve, the ability to leverage data and analytics is becoming increasingly critical for investment decision-making and alpha generation. This role will provide you with exposure to the full data engineering lifecycle, from data extraction and transformation to model development and deployment.

Core Takeaways

• Gain practical experience in building and optimizing data pipelines to support high-impact investment research
• Collaborate with quantitative researchers to design and implement innovative data-driven models and strategies
• Develop technical skills in areas such as Python, SQL, cloud infrastructure, and machine learning
• Contribute to the firm's competitive edge through the delivery of insightful, data-powered investment theses

Key Skills & Competencies

1. Technical Skills

• Proficiency in Python, SQL, and data engineering tools/frameworks
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure)
• Understanding of data architecture, ETL processes, and database management
• Familiarity with machine learning techniques and model deployment

2. Analytical & Problem-Solving

• Strong quantitative and analytical capabilities
• Ability to translate business requirements into technical solutions
• Critical thinking and problem-solving skills to tackle complex data challenges
• Attention to detail and a commitment to data quality and integrity

3. Communication & Collaboration

• Excellent written and verbal communication skills
• Ability to effectively present technical concepts to non-technical stakeholders
• Teamwork and interpersonal skills to collaborate with cross-functional teams
• Adaptability and willingness to learn in a fast-paced, dynamic environment

Interview Focus / Watchpoints

• Demonstrate your technical proficiency in data engineering tools and methodologies
• Showcase your ability to translate business requirements into data-driven solutions
• Highlight your experience in designing and optimizing data pipelines and infrastructure
• Discuss your passion for applying data and analytics to solve complex business problems

Compensation & Environment

• Base: ,
• Bonus: Performance-dependent bonus
• Benefits: Competitive pension scheme, private medical, generous holiday allowance
• Working Model: Flexible working arrangements with professional development focus