Quantitative Analyst, AI Core
Bank of America
Job Overview
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Job Description
About Bank of America
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Location Overview: London Office
Our London office is based just a stone’s throw from the magnificent St. Paul’s Cathedral on bustling King Edward Street. Here you’ll find modern workspaces and a state-of-the-art auditorium space. In addition, we’re proud to host an onsite restaurant that shares our commitment to sustainability by providing delicious seasonal menus which have been created with the planet in mind. Make sure to take time for yourself and head up to our rooftop terrace and take in the spectacular views across London. Finally, your physical wellness is well- catered for with our onsite gym facilities and medical centre.
The Team
This is a new and rapidly growing global team. Its vision is to provide the models, tools, and technology for the rest of the firm’s technical talent to revolutionise Bank of America. The team is extremely high profile: daily contact with head quants, and updates weekly to the head of platform and business co-presidents.
Role Description: Quantitative Analyst, AI Core
Due to the emergence of Generative AI, we are looking for a Quantitative Analyst, AI Core to join our new, dedicated AI team within Global Markets. The team is responsive for creating, driving and implementing technologies related to Large Language Models (LLMs) and their variants. This high-profile role will interface with the wider global quant team, as well as senior representatives from the business.
Responsibilities
- Implementing Generative AI technologies in Global Markets and the wider firm.
- Researching and testing new models/methods.
- Creating new ideas for sales and trading.
- Interface between the global quant team, technology and senior business.
- Educate sales, trading and clients on the new technology.
What We Are Looking For
- Extremely strong technical skills, including statistics, AI, and Python programming.
- Experience with machine learning, LLMs, and agents.
- Experience with quant finance and financial markets.
- Curiosity into the latest research and cutting-edge AI/programming packages.
Skills
- Creativity. I.e., the potential to come up with novel ideas (for the business or publication).
- Ability to communicate technical topics to a non-technical audience.
Key skills/competency
- Generative AI
- Large Language Models (LLMs)
- Python Programming
- Machine Learning
- Quantitative Finance
- Financial Markets
- Statistical Analysis
- AI Agents
- Technical Communication
- Problem Solving
How to Get Hired at Bank of America
- Research Bank of America's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI and Quant Finance: Highlight your expertise in Generative AI, LLMs, Python, statistics, and financial markets relevant to the Quantitative Analyst, AI Core role.
- Showcase practical Generative AI experience: Provide specific project examples demonstrating your hands-on experience with LLMs, machine learning, and AI agents.
- Prepare for rigorous technical interviews: Expect deep dives into statistics, AI algorithms, Python programming, and quantitative finance concepts, potentially with coding challenges.
- Develop strong communication skills: Practice articulating complex technical concepts clearly to non-technical audiences, a critical skill for this high-profile role.
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