Federato's RiskOps underwriting platform for insurance carriers, MGAs and MGUs provides real-time risk selection and portfolio insights to empower underwriters to balance their book of business and make better underwriting decisions.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

What You'll Be Doing:

• Design, develop, and maintain interactive dashboards, charts, and reports that provide real-time insights to various business units
• Ensure the visualizations are user-friendly, effective, and tailored to the needs of different audiences, including customer success, sales, marketing, and external clients
• Lead the development of a scalable portfolio insight analytics product that serves both internal and external stakeholders
• Ensure that the product meets the diverse needs of different user groups, enabling them to review performance metrics and make informed decisions
• Collaborate with product managers and engineers to integrate the analytics product into existing systems and workflows
• Work closely with the data science team to monitor the performance and impact of ML models deployed in production
• Act as a liaison between technical teams (e.g., data engineering, data science) and business units to ensure alignment on objectives and deliverables

Who We Hope You Are:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
• Experience working in a fast-paced, cross-functional environment
• Proven experience as a Data Analyst or similar role (at least 2 years), with a strong focus on dashboard development and statistical analysis
• Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g. Python)
• Experience with SQL and working with large datasets
• Strong problem-solving skills and attention to detail