Senior Allocation Analyst

MDD Forensic Accountants
Allen, TX

Qualifications: Bachelor’s degree or equivalent work experience in Mathematics, Finance, Economics, or related field required

Experience: 3+ years

Position Type: Full Time, Remote

About the Company

Tracing its roots back to 1933, MDD is one of the world’s top forensic accounting firms specializing in economic damage quantification calculations. With forensic accounting professionals in over 40 offices on 5 continents, MDD has global resources to assist our clients with their forensic accounting needs. MDD helps insurance companies, independent adjustment firms, multinational corporations, government entities, and individuals calculate the true economic damage of claims or disputes.

Job 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.
  • 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.

Qualifications

  • 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.

MDD provide a market competitive base salary, participation in the discretionary bonus plan and a benefits package which includes private medical insurance, life and long term disability insurance as well as 18 days annual leave on commencement.

MDD applicants will receive consideration for employment without regard to religion, race, color, sex, sexual orientation, gender, national origin, age, disability or protected veteran status, or any other legally protected basis.

Take the next step towards an enriching, rewarding and fulfilling experience by applying today.

MDD is committed to fostering a work environment that believes in treating all people with respect and dignity. Employee diversity and equality is an integral part of MDD’s business practices. MDD welcomes applications from people with disabilities. Accommodations are available upon request for candidates selected throughout the recruitment process.

Thank you for your interest in MDD Forensic Accountants.

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Posted 2026-08-20

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