AI Quant Researcher - Selby Jennings

External

Efinancialcareers · London, UK

Full-timeOn-siteToday

AWSCross-functional CollaborationData AnalysisJavaKubernetesLeadership

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About the role

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

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.

AI Quant Researcher - Selby Jennings

About the role

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