Manager

Description

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.

MDD is looking for a Manager to serve as an essential function of the forensic accounting team. The ideal candidate will have a sound technical background in accounting/finance, possess strong communication and analytical skills, and can work independently. They 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

• Preliminary to intermediate analysis of sales, production and other accounting data
• Physical inventory observation, price testing
• Examination of source documents pertinent to engagement
• 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
• Check and proof reports and schedules
• Conduct phone or in person interviews to obtain information
• Prepare preliminary draft of report narrative and schedules
• Analyze and reconcile claim to final calculation
• Research, data analysis and evaluation
• Ensure compliance with state and federal laws
• Research and other tasks assigned by manager

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.

Equal Employment Opportunity & Legal Notices

MDD offers a competitive benefits package including paid vacation and holidays, 401k, medical, dental, vision, life, and disability.

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.

Essential Functions
The following responsibilities and expectations are considered essential to the successful performance of this role. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform these essential functions.

• Maintain regular and dependable attendance.
• Be available and able to perform job responsibilities during established work hours.

Background Check & Fair Chance Compliance

Any background check or review of criminal history, if applicable to the role, will be conducted only after a conditional offer of employment and in compliance with applicable federal, state, and local laws, including fair‑chance hiring requirements.

Massachusetts Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

AI Policy
At Davies, we value authentic conversations and a fair candidate experience. While candidates may use AI and technology tools to prepare for interviews, we expect interview responses and assessments to reflect each individual's own experience, knowledge, and professional judgment.

We do not use sites like Facebook, Craigslist, or Telegram to recruit or interview potential employees or contractors. If you have been asked to provide any information through any method other than our career portal, please email us at [email protected]

About Davies

We are a specialist professional services and technology firm, working in partnership with leading insurance, highly regulated and global businesses.

We help our clients to manage risk, operate their core business processes, transform and grow. We deliver professional services and technology solutions across the risk and insurance value chain, including excellence in claims, underwriting, distribution, regulation & risk, customer experience, human capital, digital transformation & change management.

Our global team of more than 8,000 professionals operate across ten countries, including the UK & the U.S. Over the past ten years Davies has grown its annual revenues more than 20-fold, investing heavily in research & development, innovation & automation, colleague development, and client service. Today the group serves more than 1,500 insurance, financial services, public sector, and other highly regulated clients.