Senior Allocation Analyst

Davies

$80K — $110K *
US-Anywhere
+ 2 other locationsRemote
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Mathematics, Finance, Economics, or related field, or equivalent experience.
  • 3+ years of experience in allocating long-tail insurance claims as a consultant or in-house.
  • Strong proficiency in Excel, Word, and data analysis tools.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in fast-paced environments.
  • Strong organizational skills for managing multiple complex projects simultaneously.
  • Attention to detail and capability to model qualitative issues with quantitative methods.

Responsibilities

  • Perform quantitative analysis on policy exposure for complex insurance claims.
  • Build loss allocation scenarios for various mass torts, including Asbestos, PFAS, and Toxic Torts.
  • Develop customized solutions based on client needs, integrating insurance data and legal opinions.
  • Collect and ensure accuracy of data from diverse sources for modeling purposes.
  • Execute data cleaning and transformation tasks as needed.
  • Provide ad-hoc reporting and reconcile data as required.
  • Assist in project management tasks such as tracking progress and reporting status to stakeholders.
  • Communicate analysis results effectively to coworkers and clients.

Benefits

  • Permanent full-time position with opportunities for professional growth.
  • Work from home flexibility, allowing for remote engagement.
  • Access to extensive global resources within a leading forensic accounting firm.
Full Job Description
Senior Allocation Analyst

Application Deadline: 5 June 2026

Department: Forensic Accounting

Employment Type: Permanent - Full Time

Location: Home United States

Reporting To: John Goldwater

Description

MDD is looking for a Senior Allocation Analyst to serve as an essential supporting function of the forensics team. The Senior Allocation Analyst will work with clients and senior management to build claim-level allocation models, create decision-making tools and analytics, and accurately report on results and progress to senior management, clients, and related stakeholders throughout the large, complex claims exposure evaluation process.

Key Responsibilities
  • Perform insightful quantitative analysis on potential policy exposure for long-tail or complex commercial casualty insurance claims.
  • Build and model loss allocation scenarios for mass torts, including Asbestos, Hazardous Waste, Sexual Abuse & Molestation, PFAS, Concussive Injuries, Pharmaceuticals, Toxic Torts, etc..
  • Create customized solutions dependent on customer needs, combining insurance, data, and jurisdictionally driven legal opinions to accurately model pertinent scenarios .
  • Collect and organize data from various sources, ensuring data accuracy and completeness.
  • Perform data cleaning and transformation as needed for modeling purposes.
  • Provide ad-hoc reporting and data reconciliation services.
  • Assist in short-term project management, including assignment of tasks, record-level tracking of progress and real-time status reporting.
  • Clearly communicate results of various analyses to all stakeholders including coworkers, managers, partners, counsel, clients and opposing consultants.


Skills, Knowledge & Expertise
  • Bachelor's degree or equivalent work experience in Mathematics, Finance, Economics, or related field required.
  • At least three years of experience in allocating long-tail insurance claims as a consultant or in-house required.
  • Excellent Excel, Word, Data Analysis, and other relevant software skills required.
  • Strong written, oral communication and presentation skills.
  • Proven capability to work independently as well as collaboratively in a fast-paced, team environment.
  • Excellent organizational skills with ability to handle multiple complex projects at various stages of completeness at any given time.
  • Emphasis on attention to detail.
  • Adeptness at modeling qualitative issues using quantitative methods.
  • Knowledge of Python, VBA, HTML, or other coding language a plus but not required.
  • Knowledge of insurance principles, long-tail insurance claims and working knowledge of jurisdictional intricacies required.
  • Advanced degree a plus but not required.

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