Corporate Title
Vice President / Executive Director
Division
Global Markets
Location
London
Business Overview
The Global Markets Structuring team in EMEA delivers bespoke solutions for clients’ hedging and investment requirements across fixed income asset classes – Rates, Foreign Exchange, Credit, and Hybrids. The team engages in end-to-end deal modelling that involves pricing of structured payoffs, suggesting and marketing trade ideas to sales/clients and preparing relevant documentation. Our client services cover both high-volume flow products and carefully tailored structured solutions.
The Structuring Platform & AI group is a globally distributed team within Structuring, responsible for building end-to-end digital platforms that scale key structuring business verticals. With a client-centric focus and differentiated by innovation, these platforms deliver market-leading capabilities across the full product lifecycle – from pricing, booking, and risk management to trade idea generation and client servicing – leveraging modern engineering and AI to drive significant efficiency and scale across high-volume flow verticals.
Position Specifications
The candidate will join as a Strategist in the Structuring Platform & AI group based in London, UK. This is a revenue-aligned role with line of sight to client trades. Working closely with Product Structurers, Sales, Trading, and Quant teams, the candidate will bring modern engineering and AI capabilities to the structured products workflow. The role reports jointly to the Head of Structuring Strategists in Singapore and the GM EMEA Structuring Heads. The role is within a global team spread across Singapore, Mumbai & London.
The role combines technical expertise with structured products awareness to design, build, and own autonomous platforms across primarily Rates, Credit and Currency product verticals. This role offers potential for self‑motivated individuals to shape and lead Platform & AI functions across a high growth and focus platform, building domain expertise across multiple asset classes.
Job Responsibilities
- Architect and deliver end-to-end digital platforms that scale Fixed Income structuring verticals, covering pricing, booking, lifecycle management, and client servicing.
- Work alongside Product Structuring Specialists to understand payoff design, product mechanics, and client requirements, translating business needs into scalable platforms.
- Apply modern AI and Generative AI techniques – including RAG, agent architectures, and context engineering – to enhance structuring workflows such as trade idea generation, documentation, and client engagement.
- Drive the design and development of production‑grade applications with strong emphasis on system architecture, reliability, and integration with internal infrastructure.
- Contribute to and leverage the global platform ecosystem, ensuring regional solutions align with global development standards and integrate seamlessly with existing capabilities across regions.
- Collaborate with Sales, Trading, Quant, and Technology teams to identify opportunities for efficiency and scale across high‑volume flow products.
- Stay current with emerging technologies and industry trends, proactively proposing innovative solutions that strengthen the structuring franchise.
Job Requirements
- Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus.
- Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure.
- 5 years to 15 years of relevant experience with a strong track record of building and owning production‑grade, end‑to‑end software solutions.
- Familiarity with structured products, derivatives, and preferably Structuring landscape; experience working alongside a Structuring desk, quantitative Strategists, or Desk quants is valued.
- Working knowledge of modern AI and Generative AI frameworks and concepts – including RAG, agent architecture, context engineering, and orchestration tooling – ideally with applied experience in a financial context.
- Strong analytical and problem‑solving abilities with a commercial mindset and attention to detail.
- Ability to communicate complex technical concepts clearly to both technical and business stakeholders.
- Ability to work effectively in a fast‑paced environment managing multiple stakeholders and conflicting priorities.
- Experience in building platforms delivering structured products, including pricing and distribution.
- Experience with quantitative modelling and derivatives pricing.
- Hands‑on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP‑based orchestration.
- Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes.
- Experience with microservices architecture and web development.
- Knowledge of data visualisation tools (e.g., PowerBI, Tableau) and dashboard development.
- Good creativity and lateral thinking skills with an entrepreneurial mindset.
Explore Insights & Vision
Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.
Making Strategic Decisions
Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.
Inspire Entrepreneurship in People
Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.
Elevate Organizational Capability
Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.
Inclusion
Respect DEI, foster a culture of psychological safety in the workplace and cultivate a “Risk Culture” (Challenge, Escalate and Respect).
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