aimlroles

Senior Quant AI Researcher

Cantor Fitzgerald/BGC Open · verified Oct 22, 2026
London Full-time Senior AI Research

At a glance

Senior AI Research role at Cantor Fitzgerald/BGC. London · full-time · no salary stated · we estimate £78,230–£127,625 across the United Kingdom.

Estimated pay

Cantor Fitzgerald/BGC has not published a salary for this role. The figure below is our estimate, not theirs.

£78,230 – £127,625
What the middle half of senior AI research roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median £101,128. Last updated Oct 4, 2026.
RoleAI Research
SenioritySenior
LocationLondon
EmploymentFull-time
PostedAug 25, 2026 · 8w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build ML models for market regimes, price forecasts, event risk, sentiment and market classification
  • Develop LLM, RAG and tool-calling agents for market insight and smoother client workflows
  • Check model quality with backtests and hallucination reviews, then control what passes release gates
  • Bring quant signals, reliable data and human checks together; compare providers with open-source options
  • Guide junior researchers and align model work with colleagues across business functions

What you bring

  • Strong Python ability and grounding in classification, clustering, time-series methods and regime detection
  • You have shipped LLM, RAG or agent systems beyond notebook experiments
  • You understand macro, FX, rates, central banks and economic data in the context of financial markets
  • You can judge model reliability, governance needs and when a person must review outputs

Who this fits

This senior role suits a researcher who can put financial ML and AI agents into production and mentor junior colleagues. Forecasting or nowcasting, financial NLP, fine-tuning and quant finance are useful additional strengths. The position is based in London.

From the employer

In this role, you will play a pivotal part in developing and productionizing our proprietary ML models and AI agents, shaping the future of financial markets. Your expertise will be instrumental in enhancing our market intelligence and client workflows, ensuring we stay at the forefront of the industry.

  • Develop ML models for various financial market regimes, forecasting, event risk assessment, sentiment analysis, and market classification.
  • Construct LLM/RAG/tool-calling agents to enhance market intelligence and streamline client workflows.
  • Oversee model evaluation, backtesting, hallucination testing, and release gates, ensuring the highest standards of accuracy and governance.
  • Integrate quant signals, trusted data sources, and human-review controls for robust and reliable model performance.
  • Benchmark model providers and explore open-source alternatives to stay ahead of the curve.
  • Collaborate with cross-functional teams to align ML models and AI agents with business objectives and client needs.
  • Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and improvement.
  • Stay updated with the latest advancements in AI/ML technologies and apply them to enhance our market intelligence capabilities.
  • Ensure compliance with regulatory requirements and industry best practices in the development and deployment of ML models and AI agents.
  • Strong proficiency in Python, with a solid understanding of ML fundamentals, including classification, clustering, time series analysis, and regime detection.
  • Hands-on experience with LLM/RAG/agent technologies, demonstrating a track record of shipping models beyond notebooks.
  • In-depth knowledge of financial markets, including macro, FX, rates, central banks, and economic data, with a keen understanding of market dynamics.
  • Excellent judgment and decision-making skills, particularly in assessing model accuracy, governance, and the need for human-in-the-loop review.
  • Experience in forecasting and nowcasting techniques is highly advantageous, as is expertise in financial NLP and fine-tuning.
  • A background in quant finance or systematic strategies is desirable, providing a unique perspective on financial market modeling.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • A proactive and innovative mindset, constantly seeking opportunities to enhance our ML models and AI agents.
  • A strong work ethic, attention to detail, and a commitment to delivering high-quality results.