Job Description

The Reinsurance & Loss Trends Senior Analyst delivers analytical insights that shape reinsurance strategy, loss monitoring, and operational decision-making across the organization. This role applies intermediate to advanced analytical techniques in alignment with internal policies, while continuously adapting methodologies to meet evolving business needs.

The Senior Analyst plays a critical role in validating data integrity, identifying performance drivers, and producing reinsurance and loss trend reporting that directly supports the effectiveness of the Reinsurance & Loss Trends function and the Company’s overall financial performance. The role partners closely with cross‑functional stakeholders to translate complex data into clear, actionable insights.

Responsibilities

Loss Trends, Analytics & Modeling

• Analyze and validate large, complex financial, operational, portfolio, and claims datasets to identify patterns, drivers, and current or emerging loss trends.

• Model and project loss frequency, severity, and financial impact; produce projections and scenario analyses based on current experience.
• Apply analytical, financial, and decision‑analysis techniques to evaluate business scenarios and support data-driven recommendations.

Business Intelligence & Data Management

• Design, build, and maintain interactive Power BI dashboards to monitor performance metrics, cost drivers, loss trends, and key reinsurance indicators.
• Develop, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple internal systems.
• Utilize SQL, Python, R, and advanced Excel to support analytical modeling and reporting.
• Document analytical workflows, data definitions, metrics, and reporting standards to improve transparency and scalability.

Reinsurance Operations & Financial Reporting

• Support day‑to‑day execution and administration of ceded reinsurance programs, including excess of loss (XOL), quota share (Q/S), and facultative placements.
• Prepare detailed monthly and quarterly financial and operational reports for reinsurers and internal management.
• Support forecasting, budgeting, performance monitoring, and reconciliation activities.

Compliance, Auditing & Controls

• Review reinsurance contracts to ensure compliance with contractual terms, accounting standards, and internal policies.
• Lead and support internal and external reinsurer audits, including detailed analysis of claims and underwriting data.
• Maintain a strong focus on data quality, controls, and continuous process improvement.

Strategy & Stakeholder Partnership

• Develop actionable insights on risk transfer opportunities and reinsurance market trends; make recommendations to enhance profitability.
• Serve as a primary point of contact for brokers and reinsurers.
• Collaborate with claims, underwriting, actuarial, finance, legal, technical, and risk teams to align reinsurance strategy with business objectives and support informed decision-making.

Qualifications

• Bachelor’s degree in Science, Actuarial Mathematics, Statistics, or a related field (required).
• 3–5 years of experience in a related analytical, reinsurance, or insurance role (required).
• Demonstrated experience performing intermediate quantitative analyses (required).
• Strong analytical and problem-solving skills, with the ability to independently manage complex data and analytical requests.
• Experience with catastrophe modeling, actuarial studies, or detailed claims reconciliation.
• Proven experience using business intelligence tools, particularly Power BI, to deliver decision‑oriented reporting.
• Solid technical proficiency in SQL, Python and/or R, and advanced Excel, with experience working with large datasets.
• Strong understanding of financial, operational, and risk-related data; insurance or reinsurance experience strongly preferred.
• Demonstrated knowledge of reinsurance structures (treaty vs. facultative), accounting principles, and contractual/legal language.
• Ability to clearly communicate technical findings to non‑technical audiences and senior leadership.
• Highly detail‑oriented with a strong focus on data accuracy, governance, and continuous improvement.

Why Mapfre?

As a global insurance leader with a strong local presence, we offer more than a job — we provide a purpose-driven career where your growth, well-being, and impact truly matter.

• Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
• Comprehensive Benefits: Enjoy competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts.
• Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
• Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

Salary Range $78,000 - $108,200

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.

We are proud to be an equal opportunity employer.