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.