Senior Allocation Analyst

About Davies North America

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 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.

Role Overview

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

Required Skills & Experience

• Bachelor's degree or equivalent work experience in Mathematics, Finance, Economics, or related field
• At least three years of experience in allocating long-tail insurance claims as a consultant or in-house
• Excellent Excel, Word, Data Analysis, and other relevant software skills
• 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
• Emphasis on attention to detail
• Adeptness at modeling qualitative issues using quantitative methods
• Knowledge of insurance principles, long-tail insurance claims and working knowledge of jurisdictional intricacies

Preferred Qualifications

• Knowledge of Python, VBA, HTML, or other coding language
• Advanced degree