AI Quant Researcher - Selby Jennings

eFinancialCareers
London, United Kingdom
3 weeks ago
Applications closed

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Solution Architect, Financial Services

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Solution Architect, Financial Services

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Solution Architect, Financial Services

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Solution Architect, Financial Services

Remote
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
30 May 2026 (3 weeks ago)

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.


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