Manager

Davies Group Ltd

• $100K — $120K *
US-AnywhereRemote in United States
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)
  • Minimum of three years in long-tail insurance claims allocation (consultant or in-house)
  • Proficient in Excel, Word, and data analysis software
  • Strong communication and presentation skills
  • Capable of independent work and team collaboration in a fast-paced environment
  • Exceptional organizational skills for managing multiple complex projects
  • Detail-oriented with ability to model qualitative issues quantitatively

Responsibilities

  • Conduct preliminary to intermediate analysis of sales and accounting data
  • Perform physical inventory observation and price testing
  • Examine relevant source documents for engagements
  • Execute quantitative analysis on policy exposure for complex insurance claims
  • Build loss allocation models for mass tort scenarios
  • Create tailored solutions merging insurance data with legal opinions
  • Ensure data accuracy through collection and organization

Benefits

  • Flexible remote working environment
  • Opportunity to work on complex and impactful insurance claims
  • Engage in diverse projects across various mass torts
  • Collaborative team culture with a focus on professional growth
  • Support for further education and development opportunities
Full Job Description
Manager

Department: Forensic Accounting

Employment Type: Permanent - Full Time

Location: Home United States

Description

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.

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