At a Glance
- Tasks: Design and implement AI solutions for Global Markets, collaborating with various teams.
- Company: Dynamic financial firm fostering innovation and teamwork in London.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Embrace a culture of curiosity and collaboration in a supportive environment.
- Why this job: Join a fast-paced team to solve real-world problems using cutting-edge AI technology.
- Qualifications: Proficient in Python with experience in front office quant roles and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Location: London
Job Type: Full Time
Are you excited by the prospect of engineering solutions across Global Markets? Do you want to design, build and help deliver production systems across the front-office? Are you passionate about building and delivering AI solutions?
Responsibilities
- Participate in the design, development, and implementation of quantitative models and analytics across the Global Markets business.
- Play a key role in designing and implementing the next generation of AI-powered systems, partnering closely with Trading, Structuring and Sales from idea generation through to production launch.
- Build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions.
About the Team
You’ll be working in our Quantitative Analytics team in London — a fast-paced, entrepreneurial environment. We build the tools, models, and workflows that drive the Front Office across asset classes, working side-by-side with them to architect solutions to real problems.
You’ll develop models, applications, and workflows within the company’s proprietary cloud-based quantitative analytics platform (ACQA), working closely with Trading, Structuring, Sales, Quant, and IT partners globally. Clean code, curiosity and the ability to build relationships and communicate ideas is crucial to the team delivering across a broad range of problems.
Qualifications
- Ambitious and intellectually curious individual, keen to combine technical experience with a clear desire to solve practical problems.
- Proficient in Python with experience delivering production changes to large complex systems.
- Previous experience in a front office quant role demonstrating a clear track record of production delivery.
- Able to communicate ideas clearly and build strong relationships globally within the front office.
- Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries.
- Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front-office environment.
- Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline.
- Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy).
- Strong knowledge of AI/ML techniques with experience delivering related work into production.
- Curious to explore how AI can improve how we build, deliver, and optimize workflows, with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
Equal Opportunity Statement
The company is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Contact Details:
United States Digital Space LLC Recruitment Team
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