AI Product Analyst, Market Intelligence at Point72

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

0.0

Posted On

25 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Product Management, Machine Learning, SQL, Data Pipelines, Stakeholder Management, Product Roadmap Development, Model Governance, Data Science, Solution Engineering, Market Intelligence

Industry

Financial Services

Description

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Lead the development and delivery of AI products that transform Market Intelligence workflows and enable investment professionals to generate differentiated research and trading ideas Work with investment professionals to identify and prioritize AI use cases that drive productivity and actionable insights Translate research and investment needs into clear product requirements and roadmaps Own the end-to-end product lifecycle from ideation and internal approval processes through testing, deployment, and operational support, with metrics-driven reporting on adoption and business impact Establish and maintain model governance standards, including testing, monitoring, documentation, and performance validation to ensure reliability and responsible use Develop integrations between external Compliance approved data sources and internal systems, and collaborate with data engineering to ensure high-quality inputs and reproducible pipelines Stay current of AI and machine learning trends, evaluate new methods and tools, and represent Market Intelligence in shaping the firm’s broader AI strategy WHAT'S REQUIRED Bachelor's degree in computer science, engineering, data science, statistics, or a related field 2+ years of professional experience, including experience in AI/ML product initiatives or solution engineering teams Demonstrated track record of designing and operating AI/ML products in production with measurable business impact Proven experience working with large datasets and data pipelines, including proficiency in SQL or equivalent data querying tools Strong stakeholder management and communication skills, with the ability to prioritize initiatives in a fast-paced environment 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: Health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Support for employee-led affinity groups representing women, minorities and the LGBT+ community Tuition assistance 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/.

Responsibilities

Lead the development and delivery of AI products to transform market intelligence workflows and generate investment insights. Manage the end-to-end product lifecycle, from identifying use cases and requirements to deployment and performance monitoring.