Quantitative Research Intern (London)

Team:

Quantitative Research

Duration:

6 months

Location:

London

The Firm

Davidson Kempner Capital Management (“DK”) is a global investment management Firm. Founded in 1983, Davidson Kempner is headquartered in New York and has offices in Philadelphia, London, Dublin, Hong Kong, Shenzhen, Mumbai and Abu Dhabi. Our Firm invests globally and opportunistically across the capital structure, in a variety of credit and equity strategies as well as real assets.

We apply our multi-dimensional, research-driven investment process to evaluate and execute a diverse range of transactions across asset classes, geographies and market cycles. We target complex, global situations where our experience and expertise can unlock value.

We bring together exceptional people from different disciplines and backgrounds who are energised by the challenges of navigating complexity. We look for people who demonstrate exceptional critical thinking skills, innate curiosity, creativity and embrace diverse viewpoints to calibrate their decisions.

The Internship

Davidson Kempner's Quantitative Research team is a centralised research group supporting investment teams across the Firm’s strategies, including equities, corporate credit, real estate, structured products, and merger arbitrage.

Our mandate is to conduct analysis and deliver data-driven, actionable insights in support of DK’s investments and broader strategic priorities. Our work combines programming, statistical analysis, quantitative modelling, and an understanding of businesses and financial markets to address a broad range of investment research questions. The team has access to a wide range of market-leading alternative data subscriptions and AI tools to help with this work.

The role focuses on applying quantitative research and analytical methods to support DK’s discretionary investment process, rather than developing systematic investment or algorithmic trading strategies.

The intern will work alongside experienced quantitative research analysts on live projects, gaining hands-on experience in data sourcing, analysis, modelling, and the development of analytical tools. The role offers mentorship and opportunities to collaborate with investment professionals across the Firm. Strong-performing interns may be considered for full-time opportunities upon graduation.

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.

Qualifications and Skills

• 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 rigo u r.
• Familiarity with Databricks, visuali s ation 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.
• Candidate Profile
• 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 maximi s e 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, organi s ed, 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.
• Career
• Context
• Beyond academic achievement and technical ability, we're looking for individuals who demonstrate the qualities and potential to build successful careers at DK. Our career management framework sets out the behaviours that we value across the Firm, and for interns, we place particular emphasis on:
• Intellectual curiosity and a learning mindset: A genuine desire to understand how businesses, markets and investment strategies work, with the curiosity to ask thoughtful questions, challenge assumptions, and learn from others.
• Sound judgment and maturity: The ability to think independently, consider different perspectives, recogni s e when to seek guidance, and approach decisions with an appropriate awareness of risk.
• Ownership and initiative: A willingness to take responsibility, follow through on commitments and look for ways to contribute beyond what is explicitly asked.
• Commercial curiosity: An interest in understanding not just the analysis behind a decision, but why it matters to the Firm, its investors and its broader business.
• Adaptability and openness to feedback: The confidence to step outside one
• ’ s comfort zone, embrace unfamiliar challenges, and use feedback to improve.
• A genuine one-
• F irm mindset: Someone who values different perspectives, takes an interest in the success of others and is motivated by contributing to DK as a whole, rather than only to an individual team.

Logistics

The internship commitment is for at least 30 hours a week, in-person, based at Davidson Kempner’s London office.