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Latest Quant Researcher Jobs

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Cash Equity Quant Researcher / London/ New York - Open

This role involves conducting advanced research to identify systematic anomalies in the equities market, developing and implementing trading strategies, and maintaining portfolio trading systems. You will work with large datasets, perform alpha idea generation, and contribute to the scalable research framework.

eFinancialCareers London, United Kingdom
On-site Permanent

London Start Up Hiring Junior Quant Researcher With Experience

The Junior Quant Researcher will conduct quantitative research using statistical and predictive modeling techniques, manage the full lifecycle of strategy development, and create computer-based models to predict financial market movements. The role involves working closely with a start-up environment, requiring a strong background in machine learning and programming.

eFinancialCareers London, United Kingdom
On-site Internship

Systematic Volatility Quant Researcher - London

This role involves conducting end-to-end systematic volatility research, from alpha signal generation to execution optimization. You will develop, backtest, and refine volatility-based trading strategies across asset classes, working closely with traders and portfolio managers to enhance trading efficiency and performance.

eFinancialCareers London, United Kingdom
On-site Permanent

Entry Level PhD Quant Researchers/Programmers-Statistics/ Maths/ Machine Learning

This role involves researching and optimizing high-frequency trading strategies using advanced technology. You will work closely with experienced quant strategists, developing systems in C++ or Java, analyzing data, and contributing to strategy development as you gain experience.

eFinancialCareers London, United Kingdom
On-site Permanent

Machine Learning Modeling Lead - DTG Capital Markets

This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.

eFinancialCareers London, United Kingdom
Remote Permanent

Quant Pod Hiring Multiple Macro Researchers / Paris / London - Base Sign On

This role involves developing systematic trading models and alpha strategies across various financial markets, including FX, commodities, fixed income, and equities. You will work on back-testing, improving existing strategies, and evaluating new datasets to enhance the team's investment process and research infrastructure.

eFinancialCareers London, United Kingdom
On-site Permanent

Deep Learning Researchers / Engineers- Sophisticated Prop Trading Firm

This role involves building a cutting-edge deep learning platform for a prop trading firm, focusing on neural networks, transformers, and LLM-driven research. You'll work in a greenfield environment with significant autonomy to shape the research stack and contribute to multi-modal modelling and modern NLP systems.

eFinancialCareers London, United Kingdom
On-site Permanent

Machine Learning Systems / AI Infrastructure Engineer- Quant / Systematic Trading Firms

Engineer cutting-edge machine learning infrastructure at scale within high-performance quantitative trading environments. Focus spans distributed training, GPU optimisation, low-latency inference, and full-stack ML systems, integrating hardware and software to accelerate research and production deployment. Work closely with researchers to build robust platforms for rapid model iteration and deployment on massive compute estates.

eFinancialCareers London, United Kingdom £250,000 – £700,000 pa

Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinancialCareers

The role involves researching and designing new systematic equity strategies, partnering with the Portfolio Engineering team to implement quant capabilities, and enhancing existing factor and risk models. You will also run independent research projects, improve research tools, and collaborate with global teams to showcase systematic capabilities to clients and stakeholders.

eFinancialCareers London, United Kingdom
On-site Permanent

C# Developer - Front Office Engineering Hedge Fund - London - eFinancialCareers

This role involves designing, building, and enhancing high-impact trading and research platforms in a fast-moving, highly technical environment. You will work closely with quants, traders, and the CTO, contributing to core trading systems, front-office tooling, and data-driven applications using C# and .NET.

eFinancialCareers London, United Kingdom
On-site Permanent

Machine Learning Quant Data Scientist Energy Trading - Bonhill Partners

Develop and enhance machine learning-based forecasting models for energy markets, focusing on power and gas. Analyse large, complex datasets from market, weather, and trading sources to identify predictive signals that inform front-office trading decisions. Collaborate with data scientists, quants, and traders in a cross-functional environment.

eFinancialCareers London, United Kingdom

Software Engineering Manager - Machine Learning- Systematic Quant Fund

This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.

eFinancialCareers London, United Kingdom
On-site Permanent

Senior Front Office Technology Solutions Engineer - Asset Management

This senior role involves collaborating with portfolio managers and analysts to design and deliver new investment solutions, focusing on fixed income. The successful candidate will drive automation and leverage AI/ML to enhance productivity, while mentoring junior team members.

eFinancialCareers London, United Kingdom
Hybrid Permanent

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