Octavius Finance is recruiting on behalf of a global asset manager to appoint a Quantitative Analyst within their EMEA Equity Trading function, with a core focus on execution analytics, transaction cost analysis (TCA), and electronic trading optimisation. This role sits at the intersection of quantitative research, systematic execution, and equity trading technology, supporting the evolution of a sophisticated algorithmic trading and execution platform in London.
The successful candidate will join a highly experienced trading and analytics team, helping to refine and enhance how equity orders are executed across European markets. The role blends hands-on quantitative analysis, programming, and trading insight, with direct exposure to traders, technologists, and senior stakeholders shaping execution strategy and infrastructure.
Key Responsibilities
- Analyse and improve the firm’s equity execution process, with a focus on measurable performance outcomes
- Build and maintain TCA frameworks to assess trading costs and execution quality across multiple strategies and venues
- Develop and enhance execution analytics tools, models, and dashboards to support systematic decision-making
- Contribute to the ongoing development of the algorithmic execution platform and execution “wheel” / routing logic
- Apply programming expertise to manipulate large datasets and deliver scalable analytical solutions
- Monitor and interpret changes in European equity market structure, trading venues, and regulatory developments
- Collaborate with traders and stakeholders to translate execution challenges into data-driven solutions
- Produce research and analysis on market microstructure, slippage, liquidity, and execution efficiency
- Support the design and rollout of new execution strategies and trading tools through data-led insight and validation
- Assist with broader analytical and project-based work across the EMEA equity trading desk
Candidate Profile
- Background in a Quant, Execution Analytics, or Trading Analytics role within equities or electronic trading
- Strong programming ability (typically Python, C++ or similar) with experience handling large financial datasets
- Solid understanding of equity market microstructure and transaction cost analysis
- Familiarity with algorithmic trading, execution algorithms, or smart order routing concepts
- Comfortable working in a fast-moving environment alongside traders, quants, and technology teams
- Strong analytical mindset with the ability to communicate insights clearly and concisely
To apply, please send your CV to
mailto: