Century Reinsurance & Loss Trends Analyst (Hyrid or Remote)

Mapfre

Albuquerque (NM)

Hybrid

USD 61,000 - 85,000

Full time

13 days ago
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Benefits offered by this job

PTO
401(k)
Medical coverage
Dental coverage
Vision coverage
Other benefits

Job summary

MAPFRE is seeking a Century Reinsurance & Loss Trends Analyst to join us in a hybrid capacity from Albuquerque or remotely. The role emphasizes analytical rigor, loss trend projection, and data-driven decision support across Claims, Underwriting, Finance, and Risk.

Key duties include building Power BI dashboards, validating large datasets, and collaborating with technology partners to enhance reporting capabilities. Strong SQL, Python/R, and communication skills are essential.

Qualifications

  • 3-5 years of experience in analytical, financial, risk management, actuarial, reinsurance, insurance, or related role.
  • Experience performing quantitative analysis and developing data-driven insights.
  • Advanced proficiency with SQL and experience working with large and complex datasets.
  • Experience using business intelligence and data visualization tools, particularly Power BI.
  • Excellent written and verbal communication skills with the ability to present findings to non-technical audiences.

Responsibilities

  • Analyze and validate large financial, operational, claims, underwriting, and portfolio datasets to identify patterns and trends.
  • Project loss trends, frequency, severity, and financial impacts.
  • Produce projections and forecasts based on historical data and business assumptions.
  • Develop and maintain interactive Power BI dashboards monitoring KPIs and reinsurance metrics.
  • Prepare monthly, quarterly, and ad hoc reports for reinsurers and senior leadership.
  • Support budgeting, forecasting, and performance monitoring through structured analysis.

Skills

Analytical reasoning
Problem solving
Data-driven insights
SQL
Power BI
Python/R
Advanced Excel
Communication

Education

Bachelor's degree in Business, Economics, Statistics, Actuarial Science, Mathematics, Data Science, Finance

Tools

SQL
Power BI
Python
R

Job description

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Century Reinsurance & Loss Trends Analyst (Hyrid or Remote)

Date: Sep 9, 2026

Location: Albuquerque or Remote, NM, US

Company: MAPFRE

Century Automotive Service Corporation, a Mapfre USA company , is growing—and we’re looking for a Reinsurance & Loss Trends Analyst to join our team either remotely or in a hybrid capacity based in Albuquerque, New Mexico .

Summary

The Reinsurance & Loss Trends Analyst plays a critical role in delivering analytical insights that drive reinsurance strategy, loss monitoring, financial performance, and operational decision-making across the organization. This position leverages advanced analytical techniques, data visualization, and financial analysis to identify trends, evaluate business performance, and provide actionable recommendations.

Working closely with stakeholders across Claims, Underwriting, Finance, Legal, Risk, and Technology, the Analyst translates complex data into meaningful insights that support strategic planning, forecasting, budgeting, and performance management. The role is also responsible for ensuring data integrity, maintaining reporting solutions, monitoring reinsurance activity, and supporting the organization’s overall risk management objectives.

Responsibilities

Data Analysis & Trend Monitoring

  • Analyze and validate large, complex financial, operational, claims, underwriting, and portfolio datasets to identify patterns, performance drivers, and emerging business trends.
  • Evaluate and project loss trends, including frequency and severity patterns, financial impacts, and future performance outcomes.
  • Produce projections and forecasts based on historical data, current trends, and business assumptions.
  • Apply analytical, financial, and decision-analysis techniques to assess business scenarios and support data-driven recommendations.
  • Design, develop, and maintain interactive Power BI dashboards and reporting solutions that monitor key performance indicators, cost drivers, loss trends, and reinsurance metrics.
  • Prepare recurring monthly, quarterly, and ad hoc reports for reinsurers, senior leadership, and business partners.
  • Support budgeting, forecasting, and performance monitoring initiatives through structured analysis and reporting.
  • Collaborate with Technology partners to enhance reporting capabilities and implement advanced analytical models.

Reinsurance Analysis & Compliance

  • Review reinsurance contracts and ensure compliance with contractual terms, internal policies, and reporting requirements.
  • Conduct analyses of claims, underwriting, and portfolio performance to support reinsurance decision-making.
  • Perform claim and financial reconciliations related to reinsurance activities.
  • Support internal and external audits, reviews, and reporting requirements.

Risk & Financial Analysis

  • Monitor credit and portfolio performance and contribute to risk modeling and capital reporting activities.
  • Assist in evaluating financial impacts of loss trends and business strategies.
  • Support enterprise risk management initiatives through ongoing analysis and reporting.

Collaboration & Process Improvement

  • Partner with stakeholders across Claims, Finance, Legal, Underwriting, Risk, and other business areas to communicate findings and support informed decision-making.
  • Develop recommendations to address loss drivers and support implementation efforts aligned with business and state strategies.
  • Document analytical methodologies, workflows, data definitions, metrics, and reporting standards to improve transparency, consistency, and scalability.
  • Promote data quality, process efficiency, and continuous improvement initiatives.

Qualifications

Required Qualifications

  • 3-5 years of experience in an analytical, financial, risk management, actuarial, reinsurance, insurance, or related role.
  • Strong analytical and problem-solving skills with the ability to independently manage complex data analyses and business requests.
  • Experience performing quantitative analysis and developing data-driven insights.
  • Advanced proficiency with SQL and experience working with large and complex datasets.
  • Experience using business intelligence and data visualization tools, particularly Power BI.
  • Working knowledge of Python, R, advanced Excel, or other analytical tools.
  • Excellent written and verbal communication skills with the ability to present technical findings to non-technical audiences and senior leadership.
  • Strong attention to detail with a focus on data quality, governance, and process improvement.

Preferred Qualifications

  • Bachelor's degree in Business, Economics, Statistics, Actuarial Science, Mathematics, Data Science, Finance, or a related field.
  • Insurance or reinsurance industry experience.
  • Knowledge of reinsurance structures, including treaty and facultative arrangements, accounting practices, and contract language.
  • Experience with catastrophe modeling, actuarial studies, claims analytics, or detailed claims reconciliation.
  • Understanding of financial, operational, and risk-related data used in insurance and reinsurance environments.

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.

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 Transparency: 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 : $60,800 - $85,000

Benefits Highlights:

AtMapfre, we invest in our employees' well-being by offering a comprehensive benefits package, including:

  • Paid Time Off (PTO) :A flexible PTO program that combines vacation, personal, volunteer and sick time into one convenient bank of paid time off.
  • 401(k) & Profit Sharing :Eligible employees may participate in Mapfre's 401(k) plan that includes company matching contributions up to certain amounts under the terms of the plan.
  • Medical, Dental and Vision Coverage :Choice of comprehensive medical, dental and vision insurance coverage under group plans offered by the company.
  • Other Benefits Include : STD, LTD, Life Insurance, FSA, HSA and various wellness programs

Your Health, Your Wellbeing—Fully Supported

  • $0 Premium Medical Plan Option
    Keep more of what you earn. Employees earning under $75,000 who elect single coverage under our Super Value Plan enjoy $0 monthly premiums —comprehensive healthcare at no cost to you.

Benefits provided are subject to the terms and conditions of the applicable benefit plan or policy. The Company reserves the right to alter, amend, or terminate benefits in its sole discretion. To learn more about our benefit offerings please visit: https://mapfre.gobenefits.net/

If you require a reasonable accommodation during the application or selection process, please contact the Mapfre Talent Acquisition team at talentacquisition@mapfre.com. Mapfre is proud to be an Equal Opportunity Employer.

The information above is intended to provide a general overview of available benefits. Eligibility, plan provisions, and coverage are governed by the terms and conditions of the applicable benefit plans and policies, which may be modified from time to time


Nearest Major Market: Albuquerque
Job Segment: Quantitative Analyst, Compliance, Business Intelligence, Claims, Accounting, Data, Legal, Technology, Insurance, Finance

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