AI Validation Engineer, Macro Technology

A Career with Point
72’s Technology Team

As Point
72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies.

Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point
72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

• Define and drive the validation strategy for AI-assisted software delivery across our Macro Trading Technology team, building a scalable approach that protects trading integrity while accelerating releases
• Translate deep knowledge of macro trading workflows into clear behavioral rules, acceptance criteria, and validation scenarios that guide engineers and AI tools during development
• Collaborate with engineering leadership, business analysts, and stakeholders, to clarify expected system behavior before and during implementation and to build consensus on release gates
• Build and maintain comprehensive regression coverage for critical trading workflows, including end-to-end workflow regression, data validation, user interface checks, downstream‑impact verification, and documented manual validation paths
• Develop and maintain Playwright‑based automation for high‑value user journeys such as blotter behavior, trade capture flows, workflow controls, release smoke checks, and regression packs
• Use AI tools as an integral part of validation to accelerate rule definition, scenario generation, test design, automation development, defect analysis, documentation, and release preparation
• Validate AI‑generated code and configuration changes through targeted human review, automated tests, exploratory testing, and evidence‑based release checks
• Create reusable assets including rule catalogs, scenario libraries, golden datasets, regression packs, automation suites, manual validation scripts, and release‑readiness playbooks that others can build on
• Lead user acceptance testing planning and execution, drive defect triage and release‑readiness assessment, and own post‑release validation and stabilization for business‑critical macro trading workflows

• 8+ years of professional experience in trading technology, business systems analysis, quality assurance, validation engineering, test automation, or software delivery
• Hands‑on domain experience with financial markets or trading technology, including exposure to fixed income, futures, foreign exchange, trade capture, blotter behavior, automated straight‑through processing, order management and execution systems, or front‑office trading platforms
• Strong background designing and executing validation for production systems, including regression testing, user acceptance testing, manual validation, exploratory testing, defect triage, release support, and post‑release stabilization
• Demonstrated ability to analyze complex business workflows, identify edge cases and control points, and convert expected behavior into testable requirements and release‑readiness evidence
• Hands‑on experience developing and maintaining automation for modern web applications using Playwright or equivalent automation frameworks
• Strong SQL and data analysis skills with the ability to validate system behavior through database queries, logs, APIs, service responses, and downstream data inspection
• Practical experience using AI tools across the delivery lifecycle, with a strong understanding of how AI‑assisted development increases the need for clearer business rules, stronger regression coverage, targeted…