LMM Quant
Job Title:
LLM Quantitative Analyst (LLM Quant)
Location:
London, UK
Role Overview:
We are seeking a highly skilled LLM Quant to join a London based development team. This role combines expertise in large language models (LLMs), quantitative finance, and production-level programming to deliver cutting-edge solutions for FX and rates markets. You will design, fine-tune, and deploy advanced AI models that integrate both numerical and textual data, supporting trading, risk management, and analytics.
Key Responsibilities:
Contract - 6 Months Rolling
Rate - Negotiable, they are open to seeing different levels
Work Type - Fully onsite, 5 days a week in office.
If you are interested please apply and if your profile meets our clients requirements we will reach out within 24 hours.
Job Title: LMM Quant
Location: London, UK
Job Type: Contract
Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at
To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to
We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
LLM Quantitative Analyst (LLM Quant)
Location:
London, UK
Role Overview:
We are seeking a highly skilled LLM Quant to join a London based development team. This role combines expertise in large language models (LLMs), quantitative finance, and production-level programming to deliver cutting-edge solutions for FX and rates markets. You will design, fine-tune, and deploy advanced AI models that integrate both numerical and textual data, supporting trading, risk management, and analytics.
Key Responsibilities:
- Model Development & Fine-Tuning:
- Fine-tune large language models for financial applications, incorporating structured numerical data and unstructured text.
- Develop robust pipelines for training, validation, and deployment of LLM-based solutions.
- Quantitative Research:
- Build and validate mathematical models for FX and interest rate products.
- Apply statistical and machine learning techniques to market data for pricing, risk, and forecasting.
- Production Engineering:
- Write clean, efficient, and scalable code in Python, C++, or C#.
- Deploy models and algorithms into production environments with strong performance and reliability.
- Market Expertise:
- Leverage deep knowledge of FX and rates markets, including pricing conventions, risk metrics, and market microstructure.
- Collaborate with traders and risk managers to align models with business needs.
- Proven Experience in LLM fine-tuning and deployment in production environments.
- Strong understanding of FX and interest rate products.
- Solid quantitative background, including probability, statistics, and financial modelling.
- Proficiency in Python (preferred), C++, or C#, with Experience writing production-grade code.
- Familiarity with data engineering and model integration workflows.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Contract - 6 Months Rolling
Rate - Negotiable, they are open to seeing different levels
Work Type - Fully onsite, 5 days a week in office.
If you are interested please apply and if your profile meets our clients requirements we will reach out within 24 hours.
Job Title: LMM Quant
Location: London, UK
Job Type: Contract
Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at
To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to
We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.