22 дня назад
Real Estate Data Quality Assurance Associate (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Real Estate Data Quality Assurance Associate (AI): Building and maintaining a trusted real estate fund dataset through data collection, validation, portfolio quality assessment, and automation with an accent on data integrity, outlier detection, and AI-enabled workflows. Focus on investigating anomalies, improving quality-assurance frameworks, communicating with fund managers and clients, and documenting auditable validation processes.
Location: Makati City, Manila, Philippines
Company
provides research-based data, analytics, indexes, and technology-supported intelligence for investors and participants across the financial ecosystem.
What you will do
- Gather real estate fund information from public sources and fund managers, ensuring complete and well-documented coverage.
- Validate data using repeatable quality-assurance processes, validation rules, outlier detection, and portfolio quality assessments.
- Investigate and resolve anomalies, inconsistencies, and structural issues before data publication.
- Use AI tools and automation daily to accelerate data collection, validation, and quality checks.
- Improve data flows and automation for data collection and quality assurance.
- Communicate with clients and fund managers, analyze data trends, and document processes and controls.
Requirements
- At least 3 years of relevant work experience.
- Strong analytical capabilities and the ability to interpret and cross-check complex datasets.
- Exceptional attention to detail and commitment to data quality and integrity.
- Comfort and proficiency with AI tools are required, including extensive daily use of AI and automation tools.
- Excellent written and verbal client-facing communication skills.
- Proficiency in MS Excel, familiarity with data and automation tools, and a structured, process-oriented mindset.
Nice to have
- Experience with data-quality frameworks, validation rules, outlier methodologies, or portfolio quality assessment.
- Understanding of private fund mechanisms and operations.
- Background in data science or a related quantitative field.
Culture & Benefits
- Transparent compensation schemes and employee benefits tailored to the work location.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Learning opportunities through the Global Orientation program, Learning@, AI Learning Center, and LinkedIn Learning Pro.
- Professional growth through internal mobility, expanded roles, and multi-directional career paths.
- Inclusive environment supported by employee resource groups and a global network of colleagues.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →