At a Glance
- Tasks: Build AI-driven solutions for investment and risk management in Macro and Fixed Income.
- Company: Join a leading firm at the forefront of data-driven investing.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with cutting-edge technology and career advancement opportunities.
- Why this job: Make a real impact by leveraging AI to enhance financial decision-making.
- Qualifications: Master's degree in relevant fields and 3+ years of software development experience.
The predicted salary is between 48000 - 84000 £ 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.
Our Macro and Fixed Income organization is building an elite AI enablement team to accelerate adoption of BAM's in-house generative AI and data science products across Macro and Fixed Income investment strategies. We are seeking a highly skilled 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 experience delivering production-grade AI solutions, ideally 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. Exceptional problem-solving skills, a collaborative mindset, and the ability to communicate with both technical and investment audiences are key to success in this role.
Key Responsibilities- Drive Adoption: Embed with Macro and Fixed Income trading desks to maximize the value derived from BAM's in-house generative AI and data science tools across rates, credit, FX, and Macro strategies.
- Partner Closely: Translate Macro PM and analyst requirements into concrete technical solutions that address specific challenges in global markets and Fixed Income investing.
- Train & Enable: Deliver demos, host office hours, and create cheat-sheets to simplify every Macro and Fixed Income professional's journey with our AI solutions.
- Streamline Processes: Continuously evaluate the workflows of our Macro and Fixed Income investment teams and use LLMs and data science techniques to improve efficiency in market analysis, economic research, and investment decision making.
- Relay Feedback: Capture on-desk insights from Macro and Fixed Income teams and relay them to the appropriate Data Science and AI teams to sharpen and extend existing products.
- Maintain Edge: Track emerging LLM techniques and machine learning methods relevant to Macro and Fixed Income markets, pilot promising ideas, and feed proven wins back into the platform.
Education: Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or equivalent work experience. Advanced degrees are preferred. Academic training in computer science, statistics and data science techniques (including machine learning methods) is required. Preference for candidates with academic training in generative AI techniques and macroeconomic or Fixed Income analysis.
Minimum Qualifications: 3+ years of professional software development experience, ideally with LLM-based and data science solutions. Strong 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.
Preferred Qualifications: Experience integrating 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). Knowledge of macroeconomic indicators, Fixed Income instruments (rates, credit, FX), and investment workflows. Understanding of AI agent architectures and multi-agent systems.
Macro AI Engineer in London employer: Balyasny Asset Management L.P.
Balyasny Asset Management L.P. is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Employees benefit from a culture that prioritises professional growth, with ample opportunities for development through mentorship and cross-functional projects. The firm’s commitment to understanding geopolitical dynamics ensures that team members are at the forefront of impactful investment strategies, making their work both meaningful and rewarding.
Contact Details:
Balyasny Asset Management L.P. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Macro AI Engineer in London
✨Tip Number 1
Network like a pro! Get in touch with folks already working in the Macro and Fixed Income space. Attend industry events, webinars, or even local meetups. The more connections we make, the better our chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial data. We can use platforms like GitHub to share our work. This gives potential employers a taste of what we can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and investment knowledge. We should be ready to discuss how our AI solutions can impact Macro and Fixed Income strategies. Practice common interview questions and have our own questions ready to show our interest!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills align with BAM's needs in the Macro and Fixed Income team.
We think you need these skills to ace Macro AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Macro AI Engineer. Highlight your experience with AI solutions, financial data, and any relevant projects that showcase your skills in macroeconomic and Fixed Income domains.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how your background makes you a perfect fit for our Macro and Fixed Income team. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Mention your proficiency in Python, ML packages, and any experience with containerization or cloud platforms. We want to see how you can contribute to building robust AI systems.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Balyasny Asset Management L.P.
✨Know Your AI Inside Out
Make sure you brush up on the latest trends in AI, especially those relevant to macroeconomic and Fixed Income markets. Be ready to discuss how you've applied AI solutions in your previous roles, and think of specific examples where your work has made a tangible impact.
✨Speak Their Language
Familiarise yourself with the terminology used in macro and Fixed Income investing. Being able to communicate effectively with both technical and investment professionals will show that you can bridge the gap between data science and finance, which is crucial for this role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex problems you've solved in past projects, particularly those involving large-scale financial data. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and creativity.
✨Demonstrate Collaboration
This role requires working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you translated technical requirements into actionable solutions for non-technical stakeholders.
