LMRE · 1 week ago
Head of Risk / Data Science
LMRE is a high-growth startup at the intersection of fintech, real estate, and risk, utilizing data and machine learning for consumer risk assessment. The role involves ownership of underwriting models and risk decisioning systems, focusing on building next-generation underwriting using advanced data science techniques.
Responsibilities
Own the expansion, maintenance, and continuous improvement of core underwriting and risk decisioning systems
Design, build, and iterate dynamic risk models to assess consumer default and loss risk
Translate behavioural, cohort-level, and market-level insights into production decision logic
Continuously monitor and refine models based on real-world performance and outcomes
Apply advanced data science, machine learning, and AI techniques to real-world consumer risk problems
Work with large, complex datasets to generate actionable underwriting and portfolio insights
Experiment with new data sources, features, and modelling approaches to improve predictive performance
Stay at the forefront of modern ML and AI tooling, with a strong bias toward learning, experimentation, and iteration
Work closely with engineering, product, and AI teams to: Productionize models
Automate underwriting and risk decisions
Improve system scalability and reliability
Act as a key partner to external stakeholders, including insurers, brokers, and third-party data providers
Produce ad-hoc risk analysis and reporting for internal stakeholders
Support thought-leadership initiatives such as market insights, white papers, and risk research
Qualification
Required
Strong background in data science applied to consumer-facing products
Hands-on experience building and deploying machine learning models into production
Experience working with consumer behavioural or transactional data
Ability to translate complex modelling and analysis into clear business and underwriting decisions
Interest in growing into a broader risk, underwriting, or data leadership role over time