Quantitative Investment Research Intern (London)

The role

The intern will conduct quantitative analysis and deliver data-driven insights to support discretionary investment processes. This involves data sourcing, statistical modeling, and developing analytical tools using Python and SQL.

What you will do

• Conduct quantitative analysis across companies, sectors, and asset classes
• Source, evaluate, and analyse traditional and alternative datasets
• Apply statistical and quantitative methods to develop models and test hypotheses
• Write, test, maintain, and document Python and SQL code
• Use desktop and programmatic AI tools to enhance research
• Build and maintain analytical dashboards and automated research reports
• Support company-specific due diligence and thematic research
• Validate analytical results and communicate conclusions
• Collaborate with internal teams such as the technology group

Required qualifications

• Currently pursuing an undergraduate degree or a master’s degree in a quantitative discipline, such as computer science, mathematics, statistics, physics, economics, engineering, or another data-focuse
• Proficiency in Python and SQL
• Understanding of database structures, data processing, and coding best practices
• Comfort with Excel
• Experience working with complex datasets and applying analytical or statistical methods to practical problems
• Exceptional attention to detail
• A track record of using the latest AI systems for building insights using code and analysis

Nice to have

• Familiarity with Databricks, visualisation platforms and machine learning frameworks

About the company

Davidson Kempner Capital Management is a global investment management Firm founded in 1983. The Firm invests globally and opportunistically across the capital structure in various credit and equity strategies as well as real assets.