At a Glance
- Tasks: Develop and productionise ML models and AI agents for financial markets.
- Company: Leading firm at the forefront of AI in finance.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
- Why this job: Shape the future of finance with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience in ML and financial markets.
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.
Senior Quant AI Researcher in London employer: Cantor Fitzgerald
As a Senior Quant AI Researcher at our company, you will join a dynamic and innovative team dedicated to pushing the boundaries of financial technology. We offer a collaborative work culture that values continuous learning and professional growth, alongside competitive benefits and a commitment to work-life balance. Located in a vibrant city known for its tech ecosystem, you'll have access to unique networking opportunities and resources that will enhance your career in AI and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant AI Researcher in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cantor Fitzgerald!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Quant AI Researcher at Cantor Fitzgerald.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cantor Fitzgerald.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Quant AI Researcher at Cantor Fitzgerald, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Quant AI Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cantor Fitzgerald, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cantor Fitzgerald. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cantor Fitzgerald
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cantor Fitzgerald!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
