Equity Trading Platform Architect - Building the Next Generation Trading Platform

Job Description

Job Description

ABOUT THE FIRM

We are a global investment management firm reimagining what the next-generation investment organization should look like. As artificial intelligence, automation, data systems, and evolving market structure reshape the industry, we believe the traditional asset management operating model is due for reinvention.

We are investing aggressively in the people, infrastructure, workflows, and technologies that will define that future business model — one that is more intelligent, adaptive, scalable, and integrated across investing, trading, operations, and decision-making.

Trading sits at the center of that evolution. We view execution not simply as an operational function, but as a strategic capability that directly influences investment outcomes and organizational scale. We are redesigning how trading operates through better systems, data architecture, automation, AI-enabled workflows, and more systematic decision support.

This is an environment for builders, problem-solvers, and intellectually curious operators who want to help shape the future state of the investment industry.

THE OPPORTUNITY

We are seeking an Equity Trading Platform Architect to help build and evolve the next generation of our trading platform and operating model. This role combines hands-on trade execution with workflow design, process improvement, automation, and operational innovation across the trading lifecycle.

The role is particularly well-suited for someone excited by the intersection of markets, technology, AI, and systems thinking. We are actively exploring how emerging technologies and new operating concepts can reshape execution quality, investment workflows, organizational scalability, and decision-making across the firm.

The ideal candidate understands the mechanics of trading, but also sees opportunities to rethink how work gets done. They are intellectually curious, technologically fluent, and motivated by building scalable solutions in a dynamic investment environment.

This opportunity offers broad exposure across investment, trading, operations, compliance, brokers, and technology — with the opportunity to influence both day-to-day execution and the long-term evolution of the firm.

This opportunity is intended for someone who wants to build more than a career. It is for an ambitious professional who wants to help build an enduring Fintech company.

KEY RESPONSIBILITIES

· Execute domestic and international equity trades with sound judgment across liquidity, timing, implementation strategy, and market conditions.

· Help design and evolve the firm’s next-generation trading platform, including workflows, automation, data architecture, and operational processes.

· Contribute to the development of AI-enabled tools, decision-support systems, and scalable investment workflows across trading and operations.

· Improve execution quality and organizational efficiency through thoughtful application of technology, analytics, systems thinking, and process design.

· Partner closely with investment, compliance, operations, brokers, and technology teams to support an integrated front-to-back trading environment.

· Help strengthen the firm’s trading infrastructure, controls, broker management practices, and post-trade operating framework.

· Participate in the ongoing rethinking of how a modern investment organization should operate in an AI-enabled environment.

WHAT EXCEPTIONAL CANDIDATES BRING

· Experience in trading, investment operations, portfolio operations, middle office, or a related investment management environment.

· Familiarity with the equity trading lifecycle and an interest in how trading, operations, and investment workflows can evolve through technology and process design.

· Curiosity about the intersection of markets, systems, automation, data, and AI — and enthusiasm for learning and experimenting with new approaches.

· Strong problem-solving skills and comfort working in dynamic, fast-moving environments where priorities and workflows continue to evolve.

· Analytical mindset with the ability to evaluate tradeoffs, identify inefficiencies, and contribute to operational and execution improvements.

· Comfort working across teams and collaborating with investment professionals, brokers, operations, compliance, and technology partners.

· Strong communication skills, ownership mentality, and willingness to challenge existing assumptions constructively.

· Experience with trading systems, workflow tools, automation, analytics, or process improvement initiatives is helpful, but depth of curiosity, adaptability, and learning orientation matter more than any single technical skillset.

CULTURE & ENVIRONMENT

We operate in a high-accountability environment where expectations are high and the work is consequential. We value individuals who take ownership, communicate proactively, and follow through consistently.

We are particularly interested in people who are energized by change and motivated by improvement — individuals who want to rethink established processes, experiment thoughtfully with new technologies, and help shape how a modern investment organization operates.

This is not simply a maintenance role within an established framework. It is an opportunity to help build and evolve the future operating model of the firm.

COMPENSATION

We offer a competitive total compensation package, including base salary, annual performance bonus, and comprehensive benefits. Compensation will reflect experience, capabilities, and the level of ownership and impact associated with the role. Additional details will be discussed during the interview process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.