AI Quant Researcher
Detailed Job Description
Overview
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.
Key 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
Required Skills & Experience
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.
FAQs
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