AI Product Validation Specialist at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Product Validation, Test Automation, Business Analysis, Natural Language Processing, Large Language Models, Generative AI, Python, SQL, Data Lakes, APIs, Analytical Skills, Problem-Solving Skills, Attention to Detail, Testing Methodologies, Statistical Methods, Project Management

Industry

Financial Services

Description

Drive the validation of GenAI-based products, models and AI-driven product features, ensuring outputs meet business requirements and ethical standards. Develop, maintain, and improve automated or semi-automated validation workflows, leveraging scripting and AI-assisted testing tools. Collaborate with product owners, developers, and other stakeholders to translate business requirements into testable validation criteria. Analyse and interpret validation results to identify inconsistencies, biases, and performance issues in AI model outputs. Create detailed documentation on validation methodology, results, and recommendations. Support continuous improvement by proposing process enhancements and contributing to validation best practices across the team. Communicate validation findings effectively to both technical and non-technical stakeholders, ensuring shared understanding and actionable outcomes. Participate in cross-functional reviews to help shape product design and feature rollouts from a validation perspective. Bachelor's or Master's degree in Mathematics, Computer Science, Physics, Economics, or a related quantitative field At least 5+ years of professional experience in software testing, test automation, business analysis, or a related technical validation role would generally be expected to find the skills required for this role. Experience with natural language processing, large language models (LLM) and/or generative AI is a plus Genuine interest in AI and other emerging technologies Knowledge in Python and understanding of various data sources and technologies such as relational databases (SQL), data lakes and APIs Strong analytical and problem-solving skills, with attention to detail and rigor in testing methodologies. Familiarity with common statistical methods is a plus Ability to drive projects independently, work with diverse stakeholders, and deliver results from conception to completion Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Speak to our recruitment team to find out more. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Drive the validation of GenAI-based products and ensure outputs meet business requirements and ethical standards. Collaborate with stakeholders to translate business requirements into testable validation criteria and analyze validation results for inconsistencies and performance issues.