Senior Quantitative Researcher, iSAM Vector

iSAM Securities; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

iSAM Securities, London, seeks a Senior Quantitative Researcher to lead research across a full lifecycle of systematic trading strategies for institutional clients.

You will drive ideas through testing, production and monitoring, collaborating with technologists and researchers to deliver robust, scalable research and portfolio insights. Strong Python skills and a PhD-level mindset are essential.

Qualifications

• Advanced degree in a quantitative discipline (e.g., mathematics, statistics, physics, engineering, computer science, economics or finance).
• Significant experience in quantitative research and systematic trading or asset management.
• Experience researching and trading systematic strategies across liquid global markets (futures, FX, equities, rates and commodities).
• Strong programming skills, preferably Python, with ability to conduct independent research and build robust analytical tools.
• Knowledge of statistics, time-series analysis, optimisation, portfolio construction and risk management.
• Experience connecting empirical research with practical investment implementation, including transaction costs, capacity, risk and live performance considerations.

Responsibilities

• Developing and refining new systematic trading strategies across global markets from hypothesis through testing, validation, implementation and live monitoring.
• Enhancing existing strategies via signal refinement, model improvements and rigorous empirical testing.
• Contributing to portfolio construction and risk management research.
• Taking ownership of research projects from idea generation to production implementation.
• Collaborating with researchers, technologists and execution specialists to ensure research ideas are implemented and monitored effectively.
• Developing research tools, data sets, analytical infrastructure and reporting processes to improve research quality and speed.
• Communicating research findings and investment rationale clearly to senior stakeholders.
• Representing iSAM Vector in client meetings and explaining strategy, research process and risk considerations.
• Mentoring junior researchers and fostering a rigorous, collaborative research culture.

Skills

Python

Statistics

Time-series analysis

Portfolio construction

Risk management

Research leadership

Communication

Education

Advanced degree in a quantitative discipline

Tools

Python

Job description

Senior Quantitative Researcher, iSAM Vector

London

iSAM is an innovative, financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities.

iSAM Securities regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group’s bank Prime Brokers.

iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios.

About the Role

We are seeking an experienced Senior Quantitative Researcher to join iSAM Vector, a systematic fund serving institutional investors. This is a hands‑on investment research role with exposure to the full strategy lifecycle. You will help lead the research, development and ongoing management of systematic trading strategies across global markets, with responsibility spanning signal research, portfolio construction, risk management, implementation and live strategy monitoring. Working closely with researchers, technologists and execution specialists, you will be expected to take ownership of research from idea generation through to production. You will help develop new sources of return, improve existing strategies, and ensure research is implemented robustly in a live investment environment. You will join a systematic fund serving institutional investors, with the opportunity to influence both the research agenda and the live investment process. The role offers exposure to the full strategy lifecycle, close collaboration with experienced researchers and technologists, and the opportunity to contribute directly to portfolio construction, risk management and the ongoing evolution of production systematic strategies.

Responsibilities

• Developing new systematic trading strategies across global markets, from initial research hypotheses through to testing, validation, implementation and live monitoring
• Enhancing existing systematic strategies through signal refinement, model improvements, portfolio-level analysis and rigorous empirical testing
• Contributing to portfolio construction and risk management research
• Taking ownership of research projects from idea generation through to production implementation
• Working closely with researchers, technologists and execution specialists to ensure research ideas are implemented, monitored and executed efficiently
• Developing research tools, datasets, analytical infrastructure and reporting processes to improve the quality and speed of the research process
• Communicating research findings, investment rationale and risk considerations clearly to senior stakeholders
• Representing iSAM Vector in client meetings, explaining the strategy, research process, performance drivers and risk considerations.
• Supporting and mentoring junior researchers, helping to maintain a rigorous, collaborative research culture

Qualifications

• Advanced degree in a quantitative discipline such as mathematics, statistics, physics, engineering, computer science, economics or finance
• Significant experience in quantitative research, systematic trading, asset management or a related investment role
• Strong experience researching and trading systematic strategies across liquid global markets, including futures, FX, equities, rates and commodities
• Strong programming skills, preferably in Python, with the ability to conduct independent research and build robust analytical tools
• Strong understanding of statistics, probability, time-series analysis, optimisation, portfolio construction and risk management
• Experience developing, testing and improving systematic trading strategies using large financial datasets
• Ability to connect empirical research with practical investment implementation, including transaction costs, capacity, risk and live performance considerations

Personal Attributes

• Ability to take ownership of complex research projects and drive them through to robust implementation
• Strong communication skills, with the ability to explain complex research, investment ideas and risk trade-offs clearly
• Intellectual curiosity, sound judgement and a rigorous approach to research design, validation and decision-making
• Experience mentoring or supporting other researchers and contributing to a rigorous, collaborative research culture