Real Estate Data Quality Assurance Associate

Real Estate Data Quality Assurance Associate

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a team ensuring high-quality real estate data through rigorous validation and innovative AI tools.
  • Company: MSCI, an inclusive employer committed to diversity and innovation.
  • Benefits: Flexible working, competitive pay, comprehensive benefits, and continuous learning opportunities.
  • Other info: Dynamic work environment with opportunities for professional growth and a supportive culture.
  • Why this job: Make a real impact in the finance world while working with cutting-edge technology.
  • Qualifications: Strong analytical skills, attention to detail, and familiarity with AI tools are essential.

The predicted salary is between 63000 - 77000 £ per year.

You will be part of a team responsible for building and maintaining a trusted, high-integrity real estate fund dataset. The team gathers information from diverse public and manager-provided sources, validates it through rigorous data-quality and portfolio quality-assessment processes, and continuously automates the data pipeline to improve accuracy, timeliness and coverage. AI tools and internally built applications are used extensively across every stage of this work, and the team is expected to adopt, apply and help improve these tools as a core part of day-to-day delivery.

Your Key Responsibilities:

  • Gather real estate fund information from diverse public sources and directly from fund managers, ensuring complete and well-documented coverage.
  • Ensure the accuracy, reliability and integrity of collected data through rigorous, repeatable validation and quality-assurance processes.
  • Apply, maintain and improve data-quality frameworks, validation rules and outlier-detection methodologies to safeguard data integrity at both record and portfolio level.
  • Carry out portfolio quality assessment - reviewing portfolios for completeness, consistency, structural integrity and reasonableness, and flagging and resolving issues before sign-off and publication.
  • Apply a high level of attention to detail to identify, investigate and resolve outliers, anomalies and inconsistencies before data is published.
  • Communicate effectively with clients and fund managers - gathering detailed information using standardized questionnaires, responding to queries, clarifying methodology and building strong, professional working relationships.
  • Make extensive use of AI tools and automation to accelerate data collection, validation and quality checks; this role requires the daily, hands-on use of AI and related tools as a primary way of working.
  • Contribute to the design and streamlining of the data flow, and help build and enhance the automation of the data collection and quality-assurance process.
  • Analyse data trends and patterns to support data-quality decisions and provide clear, well-reasoned explanations to internal stakeholders and clients.
  • Document processes, controls and validation logic to support consistency, auditability and knowledge sharing across the team.

Your skills and experience that will help you excel:

  • Strong analytical capabilities, with the ability to interpret, cross-check and draw sound conclusions from complex datasets.
  • Exceptional attention to detail and a genuine commitment to data quality and data integrity.
  • Familiarity with data-quality frameworks, validation rules, outlier methodologies and portfolio quality assessment is highly valued.
  • Excellent client-facing communication skills, both written and verbal, with the confidence to engage fund managers and clients directly.
  • Comfort and proficiency with AI tools is an absolute must - the role requires extensive, daily use of AI and automation tools, and a willingness to continuously learn and adopt new ones.
  • Proficiency in MS Excel and familiarity with data and automation tools.
  • A good understanding of private fund mechanisms and operations.
  • A structured, process-oriented mindset with strong organizational skills.
  • A background in data science or a related quantitative field is advantageous.
  • At least 3 years of relevant work experience.

About MSCI:

What we offer you: Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups.

At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities.

Real Estate Data Quality Assurance Associate employer: MSCI

MSCI is an exceptional employer that fosters a dynamic and innovative work culture in Greater London, where employees are encouraged to collaborate across functions and contribute to cutting-edge AI solutions. With a strong emphasis on professional growth, team members have access to numerous opportunities for advancement in product strategy and client engagement, making it a rewarding place for those passionate about technology and finance.

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Contact Details:

MSCI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Real Estate Data Quality Assurance Associate

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We think you need these skills to ace Real Estate Data Quality Assurance Associate

Analytical Skills
Attention to Detail
Data Quality Assurance
Data Validation
Outlier Detection Methodologies
Portfolio Quality Assessment
Client-Facing Communication Skills

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