UNLOCKLAND · 19 hours ago
Senior Risk Analyst
UnlockLand is a decision system establishing the foundation for development decisions, and they are seeking a Senior Risk Analyst to provide advanced analysis of portfolio exposure, model performance, and financial risk across their AI-powered real estate platform. The role involves overseeing the development and validation of risk models, collaborating with various teams to ensure AI-driven insights are accurate and decision-ready for clients and partners.
AnalyticsArchitectureBig DataComplianceConstructionData Collection and LabelingData VisualizationDatabaseMarket ResearchProduct Research
Responsibilities
Prepare and validate daily and quarterly exposure reports, including VaR, IRR sensitivity, and AI model accuracy metrics
Conduct variance and scenario analyses to evaluate how zoning, market, and macroeconomic changes affect asset valuations
Articulate key drivers of portfolio performance and risk to senior management
Collaborate with engineering to improve risk data pipelines integrating inputs from ARGUS, Yardi, and CoStar
Maintain and optimize risk dashboards in Power BI / Tableau; automate reports via Python or SQL queries
Support the design of UnlockLand’s AI Risk Intelligence System, enhancing data integrity and transparency
Quantify market, liquidity, and operational risk across real-estate portfolios
Validate AI-generated valuation and feasibility outputs against historical benchmarks
Support product and finance teams in stress-testing investment scenarios and capital allocation decisions
Partner with investment managers and AI engineers to explain model outputs, assumptions, and anomalies
Communicate results and recommendations to internal stakeholders, investors, and leadership
Ensure compliance with internal risk limits, delegation-of-authority policies, and model governance standards
Qualification
Required
Bachelor's degree in Finance, Economics, Mathematics, or Data Science
4 + years of experience in risk management, quantitative analysis, or financial modeling, ideally in real estate, PropTech, or private equity
Proficiency in Excel, SQL, Python, or R; experience with Power BI / Tableau visualization tools
Strong understanding of risk metrics (VaR, CVaR, IRR, NPV) and exposure analysis frameworks
Excellent analytical, problem-solving, and communication skills
Ability to thrive in a fast-paced, data-driven environment balancing precision with innovation
Preferred
Master's degree in Finance, Economics, Mathematics, or Data Science
Experience with AI model evaluation or predictive analytics
Company
UNLOCKLAND
Al-Powered Decision Intelligence for Real Estate Development
Funding
Current Stage
Early StageTotal Funding
$1MKey Investors
Sinovel Angel FundStephen Wong
2025-06-01Pre Seed· $1M
2025-05-20Non Equity Assistance
2024-04-01Pre Seed
Company data provided by crunchbase