Senior Quant AI Researcher

Posted 11 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Financial Services
The Role
Develop and productionize machine learning models and AI agents for financial-market intelligence and client workflows. Responsibilities include forecasting, sentiment analysis, market classification, LLM/RAG agent development, backtesting, hallucination testing, governance, human-review controls, provider benchmarking, regulatory compliance, and cross-functional collaboration. The role also provides technical leadership and mentorship while applying advances in AI and machine learning to financial markets.
Summary Generated by Built In

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.

Responsibilities
  • 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.
Qualifications
  • 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.

Skills Required

  • Strong proficiency in Python
  • Strong understanding of machine learning fundamentals, including classification, clustering, time series analysis, and regime detection
  • Hands-on experience with LLM, RAG, and agent technologies
  • Track record of shipping machine learning models beyond notebooks
  • In-depth knowledge of financial markets, including macroeconomics, foreign exchange, rates, central banks, and economic data
  • Excellent judgment and decision-making skills for model accuracy, governance, and human-in-the-loop review
  • Experience in forecasting and nowcasting techniques
  • Expertise in financial NLP and fine-tuning
  • Background in quantitative finance or systematic strategies
  • Excellent communication and cross-functional collaboration skills
  • Proactive and innovative mindset
  • Strong work ethic, attention to detail, and commitment to high-quality results
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The Company
HQ: New York, NY
1,857 Employees
Year Founded: 1945

What We Do

Cantor Fitzgerald is a leading global financial services firm, serving clients from over 30 offices around the world. Founded in 1945 as a securities brokerage and investment bank, the firm pioneered computer-based bond trading, built one of the broadest distribution networks in the industry and became the market’s premier dealer of government securities. Today, Cantor Fitzgerald is known for its strength across a diverse array of businesses, including equity and fixed income capital markets, investment banking, commercial real estate finance and services, prime brokerage, asset management and wealth management, and e-commerce and online ventures. In all its businesses, the firm is an acknowledged leader in developing advanced technologies to expand market access, and help clients achieve their most important financial and strategic objectives. This commitment to client-centered innovation has led to enduring relationships with many of the world’s most demanding institutional investors and corporations. For more information please visit www.cantor.com.

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