at Point72
Hedge FundsPosted a month ago
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- Compensation
- $140,000 – $200,000 USD
- City
- New York City, Stamford
- Country
- United States
Currency: $ (USD)
Full Job Description
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AI Validation Engineer, Macro Technology Career
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AI Validation Engineer, Macro Technology
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Experience
Experienced Professionals
Location
New York | Stamford
Focus
QA
Business
Point72
A Career with Point72s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firms IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. Were 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 Point72s Technology team, we encourage and support your professional development from day onehelping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosityall while delivering real business impact for our multi-billion-dollar global business.
What youll do
- 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
Whats required
- 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 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
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $140,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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AI Validation Engineer, Macro Technology
Compensation
$140,000 – $200,000 USD
City: New York City, Stamford
Country: United States
ExperiencedNo visa sponsorship
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AI Validation Engineer, Macro Technology Career
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AI Validation Engineer, Macro Technology
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Experience
Experienced Professionals
Location
New York | Stamford
Focus
QA
Business
Point72
A Career with Point72s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firms IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. Were 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 Point72s Technology team, we encourage and support your professional development from day onehelping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosityall while delivering real business impact for our multi-billion-dollar global business.
What youll do
- 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
Whats required
- 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 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
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $140,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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