AVP - ML Quant Analyst
About the role
Join a world-leading investment bank in London as an AI/ML Quant Analyst. In this role, you'll provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.
Essential qualifications
- Postgraduate degree in a STEM field (PhD preferred).
- A proven record of a strong foundation in Machine Learning, data science, and software engineering.
- Proven experience with Python
- Deep expertise in one of the following: Natural Language Processing (NLP), Reinforcement Learning, Time Series, Algorithmic Trading and Machine Learning Engineering
- Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective.
- Champions a collaborative mindset and a drive to learn, iterate, and improve.
- Publications or open-source contributions? Even better - we value original thinking.
Desirable skills and qualifications
- Experience in quant trading (especially eFX) or alpha research.
- Large Language Models (LLM) expertise.
- Familiarity with vector databases, SQL/NoSQL, and Amazon Bedrock.
- You may be assessed on key critical skills relevant for success in the role such as mathematics, finance, programming, risk and controls, change and transformation, business acumen, and strategic thinking.
Accountabilities
- Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
- Working closely with sales teams to identify clients' needs and develop customised solutions.
- In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
- Provide front office infrastructure support though ownership and maintenance of analytical libraries.
- Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your CV so you can be considered for roles that have yet to be created.
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