Advanced degree (Master's or PhD) in a quantitative field (Mathematics, Statistics, Physics, etc.)
2+ years of quantitative research experience in buy-side or sell-side environments
Strong research, statistical, and data-analysis skills
Proficient in handling large, complex datasets
Excellent analytical reasoning and communication skills
Ability to quickly grasp complex problems in a fast-paced environment
Demonstrated intellectual curiosity and independent problem-solving skills
Responsibilities
Generate and investigate systematic investment ideas using academic research and market knowledge
Develop quantitative signals and strategies using statistical techniques and economic intuition
Analyze large datasets, including alternative data, to identify predictive patterns
Design, backtest, and refine quantitative models in collaboration with the Portfolio Manager
Write clean and maintainable Python code in a collaborative setting
Clearly communicate research findings to the Portfolio Manager and investment team
Benefits
Collaborative and entrepreneurial work environment
Opportunity for meaningful ownership from the outset
Exposure to systematic strategies across credit and macro markets
Access to diverse datasets, including alternative data
Close collaboration with experienced professionals in the field
Full Job Description
Quantitative Researcher - London
We are partnered with a $50bn+ hedge fund that is looking to add a mid-level Quantitative Researcher to its London-based systematic investment team.
The role sits within a small, highly collaborative and entrepreneurial group focused on developing systematic strategies across credit and macro markets. You will work closely with the Senior Portfolio Manager and have meaningful ownership from the outset, contributing across the entire research and investment process - from developing initial hypotheses and conducting research through to implementation, monitoring and ongoing strategy development.
Previous experience in credit or macro is advantageous but not essential. The team is particularly interested in researchers who combine strong quantitative skills with financial intuition and genuine intellectual curiosity.
Key Responsibilities
Generate and investigate systematic investment ideas using academic research, market structure knowledge and an understanding of financial markets.
Develop quantitative signals and systematic strategies, combining statistical techniques with sound economic and market intuition.
Work with large and diverse datasets, including alternative data, to uncover potentially predictive patterns and relationships.
Design, backtest and refine quantitative models, working closely with the Portfolio Manager on research validation and portfolio implementation.
Develop clean, robust and maintainable Python code within a collaborative research environment.
Communicate research conclusions and findings clearly to the PM and wider investment team, incorporating feedback and iterating efficiently.
Requirements
Advanced academic qualification, ideally a Master's or PhD, in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering or Financial Engineering.
Around 2+ years of relevant quantitative research experience within a buy-side or sell-side environment, with substantial empirical or quantitative work.
Strong research, statistical and data-analysis capabilities.
Comfortable working with large, complex and noisy datasets.
Excellent analytical reasoning alongside strong written and verbal communication skills.
Ability to understand complex problems quickly and work effectively in a fast-paced investment environment.
Demonstrated intellectual curiosity and evidence of rigorous independent problem-solving, whether through academic research, competitions, publications or substantial personal projects.
Desirable Experience
Exposure to credit, rates or macro markets, including corporate bonds, CDS, rates or futures.
Strong professional experience using Python for quantitative research.
Experience working with alternative or non-traditional datasets.
About Two Sigma Investments, LLC
Two Sigma Investments is a quantitative investment management firm that uses data science and technology to identify investment opportunities. The company's solutions are designed to help investors make better decisions and generate higher returns. Two Sigma Investments offers a range of products, including hedge funds, private equity, and venture capital. The company was founded in 2001 and is headquartered in New York City.
