At a Glance
- Tasks: Design and deliver innovative AI applications to enhance financial research workflows.
- Company: Join a leading global investment bank transforming through AI.
- Benefits: High visibility role with direct impact and collaborative environment.
- Other info: Unique pathway for engineers wanting to innovate in financial markets.
- Why this job: Shape the future of AI in finance and drive real-world impact.
- Qualifications: Strong programming skills, experience with AI/ML systems, and stakeholder management.
The predicted salary is between 50000 - 70000 £ per year.
Join a leading global investment bank undergoing a major AI-driven transformation across its research function. This role sits at the intersection of advanced engineering, machine learning, and front-office research, with a focus on redefining how financial insights are created, analyzed, and distributed through cutting-edge AI solutions.
Role Purpose
As a forward-deployed AI specialist, you will design, prototype, and deliver innovative AI and LLM-based applications that directly enhance research workflows. You will work hands-on with business users to identify high-impact opportunities, rapidly build proof-of-concepts, and shape scalable solutions that integrate into enterprise platforms.
Responsibilities
- AI Innovation & Prototyping
- Rapidly move ideas from concept to production-ready prototypes across AI/ML and LLM use cases
- Design and build agentic and multi-agent systems to enhance research workflows
- Demonstrate measurable business value through functional prototypes, demos, and KPIs
- Identify opportunities to embed AI across research discovery, content generation, and distribution
- Front Office Engagement
- Partner directly with research analysts, sector specialists, and leadership to understand workflows and challenges
- Translate business requirements into technical solutions with clear impact
- Communicate complex technical concepts to both technical and non-technical stakeholders
- Support analysts with AI-enabled tools for financial modelling, data analysis, and insight generation
- Engineering & Architecture
- Develop robust, scalable architectures for AI applications in cloud environments
- Build solutions using modern engineering best practices, including modular design and containerization
- Integrate AI applications with existing data pipelines, systems, and publishing platforms
- Ensure solutions are production-ready, observable, and maintainable within regulated environments
- Cross-Functional Collaboration
- Work closely with engineering, product, and data platform teams to scale successful prototypes
- Collaborate with stakeholders across trading, portfolio management, and client-facing teams
- Contribute to the broader AI strategy within research and the investment bank
Qualifications
- Technical Expertise
- Strong programming skills in Python with solid software engineering foundations
- Experience with at least one compiled language (e.g. Java, C++)
- Deep knowledge of cloud platforms, particularly AWS services across compute, storage, data, and ML
- Proven experience building AI/ML systems, including LLMs and agent-based architectures
- Understanding of system design, distributed systems, and production deployment
- AI & Machine Learning
- Hands-on experience developing and deploying ML models and LLM applications
- Familiarity with agentic frameworks, orchestration, and tool-calling systems
- Ability to evaluate model performance and demonstrate business impact
- Business & Communication
- Ability to work directly with business users and translate needs into technical solutions
- Strong stakeholder management skills across technical and non-technical audiences
- Experience articulating complex ideas to senior leadership
- Architecture & Delivery
- Experience deploying solutions within enterprise or regulated environments
- Strong problem-solving skills, including debugging and root cause analysis
- Understanding of data pipelines and integration with large-scale systems
Desirable Experience
- Background in financial services, investment research, or capital markets
- Understanding of financial modelling techniques (e.g. DCF, portfolio optimisation)
- Experience with data platforms, data mesh architectures, or data products
- Familiarity with containerization (e.g. Kubernetes) and modern deployment practices
- Knowledge of emerging AI trends including agentic systems and multi-agent collaboration
What Makes This Role Unique
- Opportunity to work on cutting-edge AI applications at the forefront of financial research
- High visibility role with direct impact on front-office workflows and client outputs
- Blend of hands-on engineering, strategic thinking, and business engagement
- Collaborative environment with exposure to senior stakeholders and decision-makers
- Ability to shape the future of AI adoption within a global investment bank
Career Opportunity
This position offers a unique pathway for experienced engineers or AI specialists who want to combine deep technical expertise with real-world impact in financial markets. You will play a critical role in driving innovation and setting the direction for next-generation AI solutions in research.
AI Quant Researcher - Selby Jennings employer: Jobs via eFinancialCareers
Join a leading global investment bank that champions innovation and transformation through AI, offering a dynamic work culture where collaboration and creativity thrive. With a focus on employee growth, you will have the opportunity to engage directly with senior stakeholders and shape the future of AI in financial research, all while enjoying a competitive benefits package and a supportive environment that values your contributions.
Contact Details:
Jobs via eFinancialCareers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Quant Researcher - Selby Jennings
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the finance and AI sectors. Attend meetups, webinars, or industry conferences to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial modelling or machine learning. This will give you an edge when chatting with hiring managers and help them see your potential.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business concepts. Be ready to discuss how your AI solutions can drive value in financial research. Practice explaining complex ideas in simple terms to impress both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Quant Researcher - Selby Jennings
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about the potential of these technologies in transforming financial research!
Tailor Your Experience:Make sure to highlight your relevant experience with AI/ML systems and programming skills in Python. We’re looking for specific examples that demonstrate your ability to design and deliver innovative solutions, so don’t hold back!
Communicate Clearly:Remember, you’ll be working with both technical and non-technical stakeholders. Use clear and concise language in your application to show us you can bridge that gap and explain complex concepts effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of AI in finance!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially those relevant to financial services. Be ready to discuss your experience with building AI/ML systems and how you've applied them in real-world scenarios.
✨Showcase Your Prototyping Skills
Prepare to talk about specific projects where you've rapidly moved ideas from concept to production-ready prototypes. Highlight any measurable business value these projects delivered, as this will resonate well with the interviewers.
✨Communicate Like a Pro
Practice explaining complex technical concepts in simple terms. You'll need to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders, so think of examples where you've successfully done this.
✨Understand the Business Side
Familiarise yourself with the financial services industry and the specific challenges faced by research analysts. Being able to translate business needs into technical solutions will set you apart, so do your homework on current trends and pain points in the sector.
