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- Tasks: Lead a team of AI Engineers to innovate in Macro and Fixed Income markets.
- Company: Join a leading financial services firm driving AI adoption.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by shaping AI strategies in global markets.
- Qualifications: 10+ years in customer-facing roles with leadership experience in AI/ML.
The predicted salary is between 100000 - 130000 ÂŁ per year.
Lead and manage a specialized team of AI Engineers embedded directly with Macro portfolio managers, rates traders, credit analysts, and FX specialists. Drive strategic initiatives that improve decision speed and research processes in global markets. Serve as the strategic final link between our platform and the Macro and Fixed Income investment organization – leading adoption of in-house tools, architecting agentic workflows tailored to Macro and Fixed Income use cases, and establishing comprehensive feedback loops with BAM’s Data Science and AI teams.
Key Responsibilities
- Lead Team & Strategy – build, manage, and mentor the AI Engineering team focused on Macro and Fixed Income markets; develop enterprise-wide adoption strategies across rates, credit, FX, and Macro trading desks.
- Technical Leadership – design and lead execution of a robust, scalable functional architecture that maximises the value of BAM’s AI tools for the Macro and Fixed Income business; build a strong technical culture within the Macro AI team, reinforcing world‑class engineering practices and accountability to key business stakeholders.
- Strategic Adoption – partner with Macro and Fixed Income leadership to establish firm‑wide AI adoption roadmaps and success metrics; embed with key trading desks to maximise value from BAM’s generative AI and data science tools.
- Strategic Partnership – collaborate with senior Macro PMs and analysts to translate high‑level investment strategy requirements into scalable technical solutions that address complex challenges in global markets and Fixed Income investing.
- Innovation – track emerging LLM techniques and machine learning methods relevant to Macro and Fixed Income markets; pilot promising innovations and lead adoption of proven methodologies across the platform.
Qualifications & Experience
- 10+ years of experience in customer‑facing roles, with at least 5 years in leadership positions managing software engineering teams focused on LLM‑based and data science solutions.
- Proven track record of building and scaling AI/ML teams and driving enterprise‑wide technology adoption in financial services.
- Demonstrable experience architecting and deploying LLM‑based applications at scale.
- Strong preference for candidates with significant Macro, Fixed Income, or rates experience – including hands‑on experience with economic analysis, Fixed Income instruments, FX markets, and direct leadership collaboration with Macro portfolio managers and senior analysts.
- Experience managing cross‑functional initiatives and driving change management in fast‑paced trading environments.
- Technical skills: architecture and integration of LLMs and AI models into production; understanding of AI agent architectures and multi‑agent systems; familiarity with OpenAI APIs, Anthropic Claude, or similar AI services; experience with LLM frameworks such as LangChain and LlamaIndex; emerging AI technologies.
- Expert‑level proficiency in Python & SQL for data manipulation, statistical modelling and machine learning.
- Familiarity with containerisation (Docker) and orchestration (Kubernetes); experience with cloud platforms (AWS preferred); experience with vector databases and RAG systems.
- Strong understanding of software engineering best practices, CI/CD, and infrastructure as code.
Education
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or equivalent work experience.
- MBA or PhD preferred for leadership scope.
- Advanced academic training in computer science, statistics, and data science techniques (including machine learning methods) is required.
- Strong preference for candidates with academic training in generative AI techniques and macroeconomic or Fixed Income analysis.
Macro AI Engineering Lead in City of Westminster employer: Balyasny Asset Management LP
Contact Detail:
Balyasny Asset Management LP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Macro AI Engineering Lead in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those in Macro and Fixed Income. Attend events, join online forums, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI and data science. This is your chance to demonstrate your technical prowess and how you can add value to the team. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by diving deep into the company’s culture and recent projects. Tailor your responses to highlight how your experience aligns with their needs, especially in Macro and Fixed Income. We want to see that you’re not just a fit on paper but also a great cultural match!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s make it happen together!
We think you need these skills to ace Macro AI Engineering Lead in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in AI engineering and leadership, especially in Macro and Fixed Income markets. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and finance. Share specific examples of how you've driven technology adoption and led teams in the past. We love a good story!
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Make sure to mention your experience with LLMs, Python, SQL, and any relevant tools or frameworks. We’re keen to know how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in directly!
How to prepare for a job interview at Balyasny Asset Management LP
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, LLMs, and the specific tools mentioned in the job description. Familiarise yourself with how these technologies apply to Macro and Fixed Income markets, as well as any recent innovations in the field.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing and mentoring teams. Be ready to discuss how you've driven technology adoption in previous roles and how you can build a strong technical culture within the Macro AI team.
✨Understand the Business Context
Research the company’s Macro and Fixed Income strategies. Be prepared to discuss how you can translate high-level investment strategies into scalable technical solutions, and how your past experiences align with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the industry. Inquire about the current challenges the team faces, the tools they use, and how they measure success in AI adoption across trading desks.