• Manage end-to-end monthly servicing for a diversified book of casualty ILS programs, including bordereaux ingestion, reconciliation, cash settlement calculations, claims tracking, and financial reporting • Oversee collateral trust activity and ensure accurate and timely updates on collateral balances, sufficiency tests, claim withdrawals, and capital calls • Maintain and enhance investor reporting packages with clear documentation, trust metrics, portfolio development trends, and performance insights • Serve as a key operational contact for cedants, brokers, custodians, legal counsel, and auditors • Support investor inquiries and due diligence processes, ensuring all requests are addressed with accuracy and professionalism • Review and interpret reinsurance agreements, trust agreements, and related deal documentation to design, test, and implement collateral calculation methodologies • Develop and maintain Python, SQL, and Excel-based tools to streamline operational processes, including trust reconciliation, settlement attribution, and performance analytics

• Lead the development and enhancement of portfolio-level risk scoring, segmentation, and performance monitoring frameworks that guide underwriting strategy and appetite. • Translate model outputs into clear, actionable underwriting guidelines that improve loss ratio performance and strengthen risk selection discipline. • Partner with underwriting leadership to evaluate emerging trends, concentration risks, and growth opportunities across lines of business. • Oversee scenario testing, stress modeling, and capital impact analyses to support strategic planning and risk appetite decisions. • Architect and maintain stochastic simulation frameworks for frequency-severity modeling, uncertainty quantification, and reserve/capital adequacy assessments. • Implement robust model governance processes, including drift detection, performance monitoring, interpretability reporting, and documentation standards. • Collaborate with data engineering and MLOps teams to ensure analytical models are scalable, reproducible, and integrated into production environments. • Drive the build-out of automated analytical pipelines, dashboards, and reproducible workflows that support underwriting, reserving, and portfolio management. • Partner with engineering teams to optimize compute efficiency, data accessibility, and model deployment—leveraging cloud, containerization, and modern data stack tools. • Ensure data quality, lineage, and consistency across underwriting and actuarial datasets. • Manage, mentor, and develop Portfolio Analysts, providing technical guidance, performance feedback, and structured growth opportunities. • Prioritize and allocate analytical work across the team, ensuring timely delivery of high-quality insights to underwriting, actuarial, and executive stakeholders. • Foster a culture of analytical rigor, curiosity, and continuous improvement. • Work closely with underwriting, actuarial, claims, finance, and product teams to align analytical outputs with business needs. • Communicate complex quantitative concepts to non-technical audiences, enabling informed decision-making at all levels of the organization. • Support regulatory, audit, and governance processes with clear documentation and defensible analytical methodologies.

• Trade post-launch assets using proprietary tools, primarily focusing on memecoins and fair-launch tokens (swing trading + liquidity provisioning). • Manage liquidity provision, market structure, and treasury decisions with a focus on chart optics, growth momentum, and disciplined profit-building. • Analyze tokens, monitor catalysts, narrative rotation, social sentiment, and market flows to optimize trading strategies. • Speak directly with clients, taking an analyst-style role in relationship management, business development (BD), and CRM. • Build and maintain strong client relationships with clear communication, creating strategy briefs, token analyses, and real-time updates for both clients and internal use. • Perform PnL / positional accounting and reporting. Manage treasury movements, position sizing, LP allocation, and profit recycling. • Work closely with traders and developers to refine strategies and improve proprietary trading tools.

• Contribute to the delivery of projects using remote sensing and other spatial analysis techniques • Work within a broad, interdisciplinary team to assist in delivering products such as remote sensing assessments, habitat mapping and modelling, and other technical spatial services as required • Assist in interpreting remote sensing and other geospatial outputs in an environmental context and provide inputs into reports.