G-Research

About the Company

We are a leading quantitative research and technology firm.

We hire the brightest minds in the world to tackle the biggest questions in finance. We pair this expertise with machine learning, big data, and emerging tech to predict movements in financial markets.

We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

Looking to make an impact at one of the world's leading quantitative research and technology firms? Learn more about G-Research, view our open roles and apply now.

Listed Jobs

Company Name

G-Research

Job Title

Software Engineering Intern

Job Description

**Job Title:** Software Engineering Intern **Role Summary:** A 12‑ to 24‑week full‑time internship focused on building and improving production‑level software that supports large‑scale quantitative research and trading systems. Interns write maintainable code, develop database queries, enhance data pipelines, and collaborate with senior engineers and researchers to deliver high‑impact solutions. **Expectations:** - Internship periods: 30 March 2026 – 18 September 2026 or 29 June 2026 – 18 September 2026. - Full‑time schedule: 09:00–17:30. - Mentored by an experienced engineer and provided structured onboarding. - Penultimate‑year students only, graduating in 2027. **Key Responsibilities:** - Design, implement, and maintain high‑quality code for large, complex datasets. - Support and evolve production trading platforms and research tools. - Partner with quantitative researchers to enhance data quality and utility. - Develop and optimize database queries and underlying infrastructure. - Improve internal tools and data‑processing pipelines at scale. **Required Skills:** - Proficiency in an object‑oriented language (C#, Java, or C++). - Strong foundation in algorithms, data structures, and systems architecture. - Ability to write production‑grade code and conduct code reviews. - Experience with database query optimization and data pipeline design. - Analytical, structured problem‑solving mindset. - Effective communication with both technical and non‑technical stakeholders. **Required Education & Certifications:** - Current student in Computer Science or a closely related discipline. - Expected graduation: 2027 (penultimate year). - Minimum 2:1 degree classification.

London, United kingdom

On site

Fresher

10-09-2025

Company Name

G-Research

Job Title

Technical Support Intern

Job Description

**Job Title:** Technical Support Intern **Role Summary:** A one‑year placement within the Corporate IT group, providing technical support to internal stakeholders across multiple sites. The intern will assist with Windows and Linux environments, manage Active Directory and mobile devices, automate tasks via scripting, and resolve networking and enterprise‑mail issues under the guidance of a mentor. **Expectations:** - Full‑time (09:00‑17:30, Monday‑Friday) in Central London. - Enrolled in a Computer Science, Computer Systems, Cyber Security or Networks degree (sandwich year) with graduation in 2028. - Predicted academic result of 2:1 or higher. - Strong interest in IT, proactive learning attitude, and ability to work collaboratively. - Deliver professional customer service to users at all levels, including senior staff. **Key Responsibilities:** - Manage Active Directory objects, access rights, and authorization controls. - Enroll and support corporate mobile devices and BYOD profiles. - Develop and maintain PowerShell scripts to automate routine tasks. - Perform desktop and server troubleshooting (Windows, basic Linux). - Diagnose and resolve network connectivity issues on workstations and servers. - Support enterprise email architecture: mailbox troubleshooting, public folder setup, distribution and security group maintenance. **Required Skills:** - Passion for technology and strong analytical mindset. - Excellent organizational and time‑management abilities. - Effective communication and customer‑service orientation. - Basic proficiency with Windows OS; exposure to Linux a plus. - Fundamental networking knowledge (TCP/IP, LAN/WAN concepts). - Introductory PowerShell scripting experience. - Familiarity with Active Directory and mobile device management concepts. - Ability to work independently and as part of a team. **Required Education & Certifications:** - Currently pursuing a BSc/BA in Computer Science, Computer Systems, Cyber Security, Networks, or a closely related field (sandwich/placement year). - Expected graduation year: 2028. - No specific certifications required; academic performance of 2:1 or above expected.

London, United kingdom

On site

Fresher

12-09-2025

Company Name

G-Research

Job Title

Quantitative Researcher – Experienced

Job Description

**Job Title:** Quantitative Researcher – Experienced **Role Summary:** Conduct advanced quantitative research to develop predictive models for global financial markets. Leverage high‑performance computing and state‑of‑the‑art machine‑learning techniques in an academically driven environment, transforming research ideas into real‑world trading insights. **Expectations:** - Independently drive research projects from conception to implementation. - Demonstrate a strong publication or industry record of impactful quantitative work. - Collaborate with engineers and peers to translate research into production‑ready solutions. - Maintain rigorous scientific methodology and continuous learning of emerging techniques. **Key Responsibilities:** - Design, develop, and test statistical and machine‑learning models for market prediction. - Process and analyze large, high‑frequency financial datasets. - Optimize algorithms for scalability on massive compute clusters. - Publish findings internally and, when appropriate, externally in academic or industry venues. - Mentor junior researchers and contribute to a collaborative research culture. **Required Skills:** - Proficiency in at least one programming language (e.g., Python, C++, Java, or Scala). - Advanced expertise in statistical analysis, probability theory, and machine‑learning methods. - Experience with high‑performance computing environments and big‑data tools. - Strong problem‑solving abilities and capacity for self‑directed research. - Excellent communication of technical concepts to both technical and non‑technical audiences. **Required Education & Certifications:** - Master’s degree or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field. - No specific certifications required; demonstrated research achievements are essential.

London, United kingdom

On site

12-10-2025

Company Name

G-Research

Job Title

Natural Language Processing Internship

Job Description

**Job Title:** Natural Language Processing Internship **Role Summary:** A 10‑week summer internship focused on applied NLP research within a quantitative finance environment. Interns work on a meaningful research project, develop models for large‑scale text data, and present findings to senior management. **Expectations:** - Commit to full-time hours (09:00‑17:30) during the programme. - Deliver a complete research project culminating in a final presentation. - Participate in mentoring sessions and collaborative team activities. **Key Responsibilities:** - Analyze and preprocess large, noisy text datasets. - Design, implement, and evaluate NLP models for information extraction, sentiment analysis, or semantic understanding. - Use modern ML frameworks (e.g., PyTorch, TensorFlow) to build production‑ready solutions. - Conduct exploratory data analysis and mathematical modeling to tailor solutions to domain‑specific data. - Document methodology and results, preparing a final presentation for senior stakeholders. **Required Skills:** - Strong coding proficiency in Python and experience with ML libraries. - Solid understanding of statistical learning, optimization, and mathematical reasoning. - Experience building NLP models on large datasets (text classification, extraction, embeddings). - Familiarity with version control, unit testing, and reproducible experiment tracking. - Ability to communicate technical concepts clearly in written and oral formats. **Required Education & Certifications:** - Post‑graduate studies in Natural Language Processing, Computational Linguistics, Machine Learning, Data Science, or related field (master’s or PhD preferred). - Prior research or project experience yielding publications or competition results (e.g., ACL, EMNLP, NeurIPS, Kaggle). - Relevant coursework or certifications in deep learning, NLP, or applied statistics.

London, United kingdom

On site

15-10-2025