Manager, Risk Analytics

TheGuarantors is a cutting edge fintech company setting the standard in rent coverage with unrivaled insurance products, with a deep understanding of owner, operator, and renter needs. We believe renters deserve better access to the home of their dreams and operators deserve greater protection and growth opportunities. That’s why we’re leveraging our expertise in real estate and using AI-based technology to help operators qualify renters faster while mitigating the risk of rental income loss. With $2B+ in rent and deposits guaranteed, we have been named one of Inc. 5000’s fastest-growing companies, one of Forbes’ Best Startup Employees, and one of Deloitte’s 2023 Technology Fast 500.
The Guarantors seeks Manager, Risk Analytics in New York, NY to conduct in-depth actuarial analyses on insurance products and portfolios by assessing financial risk associated with various insurance offerings, evaluating pricing strategies, and making recommendations for adjustments to optimize profitability; Develop, maintain, and update sophisticated forecasting and monitoring models that enhance risk management and underwriting decisions by incorporating advanced statistical techniques & ML algorithms to provide risk exposure and mitigation insights; Extract and manipulate large, complex, multi-dimensional data sets, leveraging SQL and Python to create analytics presentations and use tools such as PowerBI to produce reports; Represent the Risk Team in cross-functional projects and collaborate with various departments to execute key business priorities & assist in strategic recommendations; Create comprehensive project documentation that encompasses methodologies, findings, and recommendations from risk analytics projects to ensure clarity, traceability, and knowledge sharing. Telecommuting from the following states is permitted: AL, AZ, CA, CO, CT, FL, GA, IL, KS, MA, MD, MI, MN, MS, NC, NV, NH, NJ, NY, OH, OR, PA, RI, SC, TX, VA, WA, WI. To apply, visit www.theguarantors.com/careers & select specific job title. 
Requires Bachelor's degree or foreign equivalent in Mathematics, Statistics, Actuarial Science, Engineering, or related quantitative degree plus three (3) years of experience in the job offered or related occupation. The position requires 3 years experience in the following: Risk analytics experience in Property & Casualty actuarial positions; Experience in Excel, SQL, Python & data science techniques to manipulate/analyze large datasets for advanced modeling; Experience with PowerBI or similar tools showcasing your ability to create compelling data visualizations and reports; Experience using programming languages such as R or SAS to develop & implement advanced statistical models for risk analysis; Experience in machine learning techniques applying advanced algorithms for predictive modeling and risk assessment. …