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- Tasks: Design and develop AI-driven solutions for investment and risk management in Macro and Fixed Income.
- Company: Join a leading firm at the forefront of data-driven financial markets.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Collaborative culture with excellent career growth and learning opportunities.
- Why this job: Make a real impact by leveraging AI to enhance investment strategies and workflows.
- Qualifications: 8+ years in software development with expertise in AI and financial data.
The predicted salary is between 80000 - 100000 £ per year.
The Macro and Fixed Income team is central to BAM's continued leadership in global markets. As macroeconomic and Fixed Income investing becomes increasingly data-driven, the ability to harness advanced analytics and AI is critical to the team's success. Our group is at the forefront of this evolution, delivering innovative AI and data solutions that empower portfolio managers, analysts, and researchers to make more informed decisions in rates, FX, credit, and related markets.
We are seeking a highly skilled Senior AI Engineer to join our Macro and Fixed Income team, focused on building AI-driven solutions for investment, research, and risk management. In this role, you will work on projects that directly impact how Macro and Fixed Income professionals leverage data and AI to enhance their workflows. You will design robust AI systems and conduct advanced data analysis, with an emphasis on delivering scalable, high-performance applications tailored to the needs of Macro and Fixed Income investment teams.
The ideal candidate will have a proven track record of architecting and deploying production-grade AI solutions, especially those involving large-scale financial data integration and analysis. Experience in macroeconomic and Fixed Income domains is highly valued, including familiarity with market data, economic indicators, and Fixed Income instruments. A strong foundation in computer science is essential, with expertise in databases, distributed systems, and knowledge graph design. The ability to model complex relationships across diverse financial data sources—bridging unstructured and structured data—is critical. Exceptional problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts to both technical and investment audiences are key to success in this role.
Key Responsibilities- Design and develop advanced financial data retrieval and analytics systems for Macro and Fixed Income markets.
- Collaborate with investment professionals and frontend engineers to integrate AI solutions into trading and research workflows.
- Partner with ML researchers to prototype, develop, and deploy new machine learning products for Macro and Fixed Income use cases.
- Participate in the full software development lifecycle, from requirements gathering through deployment and support.
- Mentor junior engineers and contribute to technical architecture decisions.
- Participate in on-call rotations to support critical AI infrastructure.
- 8+ years of professional software development experience, with at least 3 years in backend AI solutions.
- Expert-level proficiency in Python and ML packages.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Experience with cloud platforms (AWS preferred).
- Strong understanding of software engineering best practices, CI/CD, and infrastructure as code.
- Direct experience working with macroeconomic or Fixed Income data, or supporting Macro/Fixed Income investment teams.
- Experience integrating and scaling LLMs and AI models into production applications.
- Familiarity with OpenAI APIs, Anthropic Claude, or similar AI services.
- Experience with vector databases and RAG systems.
- Experience with Knowledge Graphs and Graph Databases (e.g., Neo4j).
- Strong experience with SQL and NoSQL databases.
- Strong experience with RestAPI and gRPC or JRPC.
- Knowledge of macroeconomic indicators, Fixed Income instruments (rates, credit, FX), and investment workflows.
- Familiarity with message queuing systems (Kafka, RabbitMQ).
- Understanding of AI agent architectures and multi-agent systems.
- Experience with monitoring and observability tools (Sentry, Grafana).
Senior Macro AI Engineer 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 Senior Macro AI Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the Macro and Fixed Income space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial data. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of macroeconomic indicators and Fixed Income instruments. Being able to discuss these topics confidently will set you apart from the competition.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Macro AI Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Macro AI Engineer role. Highlight your experience with AI solutions, financial data, and any relevant projects that showcase your skills in Python and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about macroeconomic and Fixed Income investing, and how your background makes you a perfect fit for our team at BAM.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled complex problems in previous roles. We love seeing how you approach challenges, especially in AI and data analytics!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Balyasny Asset Management LP
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those relevant to financial data. Be ready to discuss your experience with Python, ML packages, and any projects where you've integrated AI into production applications.
✨Understand the Macro Landscape
Familiarise yourself with macroeconomic indicators and Fixed Income instruments. Being able to speak confidently about how these elements influence investment decisions will show that you’re not just a tech whiz but also understand the financial context.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in previous roles. Highlight your collaborative mindset and how you’ve communicated technical concepts to both technical teams and investment professionals.
✨Get Ready for Technical Questions
Expect deep dives into your technical expertise, especially around databases, distributed systems, and containerisation. Practise explaining your thought process clearly, as this will demonstrate your ability to mentor junior engineers and contribute to architectural decisions.