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About the Role
The Quantitative Research intern will apply quantitative research and analytical methods to support DK’s discretionary investment process. This role focuses on data sourcing, analysis, modelling, and the development of analytical tools, offering hands-on experience and collaboration with investment professionals.
Responsibilities
- Conduct quantitative analysis across companies, sectors, and asset classes, including revenue forecasting, business performance evaluation, and investment monitoring.
- Source, evaluate, and analyse traditional and alternative datasets, assessing data quality, coverage, biases, and limitations.
- Apply a range of statistical and quantitative methods to analyse data, develop models, generate forecasts, and test investment hypotheses.
- Write, test, maintain, and document reliable Python and SQL code; work with databases and develop reusable analytical processes.
- Use desktop and programmatic AI tools creatively to enhance research capabilities and analytical efficiency.
- Build and maintain analytical dashboards, monitoring tools, and automated research reports.
- Support company-specific due diligence and broader thematic research working with Quantitative Research analysts and investment teams.
- Validate analytical results, reconcile findings against underlying sources, and communicate conclusions, assumptions, and limitations clearly.
- Collaborate with other internal teams, such as the technology group.
Requirements
- 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-focused field.
- Proficiency in Python and SQL, with an 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, with a strong commitment to accuracy and analytical rigour.
- Familiarity with Databricks, visualisation platforms and machine learning frameworks is a plus, but not required.
- A track record of using the latest AI systems for building robust, transparent and relevant insights using code and analysis.
- Intellectually curious, with strong analytical and problem-solving skills and an interest in applying quantitative methods to real investment questions.
- A continuous learner, proactively bringing new techniques and technologies to projects to maximise the impact of data on investment decision-making in a fast-paced investment research environment.
- Genuine interest in financial markets, the broader economy, and applying quantitative analysis to a wide range of investment research questions.
- Self-motivated, organised, collaborative, and capable of taking ownership of projects while managing multiple priorities.
- Strong interpersonal skills to effectively collaborate with colleagues from investment teams and technical teams, including written and spoken communication.
Skills
- Python
- SQL
- Excel
- Databricks
- Visualisation platforms
- Machine learning frameworks
- AI systems
- Quantitative analysis
- Statistical analysis
- Data modelling
- Data sourcing
- Data analysis
- Analytical methods
- Problem-solving
- Interpersonal skills
- Written communication
- Spoken communication
Location
- London
Work Type
- In-person
- Internship
Experience Level
- Intern
Education Level
- Undergraduate degree
- Master's degree
About the Company
- Davidson Kempner Capital Management (“DK”) is a global investment management Firm founded in 1983, with headquarters in New York and offices worldwide.
- The Firm invests globally and opportunistically across the capital structure in various credit and equity strategies, as well as real assets.
- DK applies a multi-dimensional, research-driven investment process to evaluate and execute diverse transactions across asset classes, geographies, and market cycles, targeting complex situations where experience and expertise can unlock value.
- The Firm brings together exceptional people from different disciplines and backgrounds who are energized by complex challenges, demonstrating critical thinking, curiosity, creativity, and embracing diverse viewpoints.