AI Validation Engineer, Macro Technology

About the role

A career with Point72’s Technology team means being part of a dynamic, forward-thinking organization that is reimagining the future of investing. Our team is dedicated to building and innovating in the AI space, providing the framework for smarter decision-making and enhancing our platforms and applications.

Responsibilities

• 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.

Requirements

• 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.
• 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 human review, and evidence-based release.
• Strong verbal and written communication skills with the ability to work effectively with engineering, business analysts, trading stakeholders, program management, operations, and compliance.
• Commitment to the highest ethical standards.

Benefits

We offer a comprehensive benefits package including fully-paid health care benefits, generous parental and family leave policies, mental and physical wellness programs, volunteer opportunities, non-profit matching gift programs, support for employee-led affinity groups, tuition assistance, and a 401(k) savings program with an employer match. Actual compensation offered to the successful candidate may vary from the posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.