出海雷达

经理

Manager

职能支持限定地区(需当地身份)
公司Davies North America
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间18 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

追溯至1933年,MDD 是全球顶尖的法务会计公司之一,专注于经济损害量化计算。MDD 在五大洲超过40家办公室拥有法务会计专业人员,具备全球资源,可协助客户满足其法务会计需求。MDD 帮助保险公司、独立理赔公司、跨国企业、政府机构和个人计算索赔或争议的真实经济损害。MDD 正在寻找一名经理,作为法务会计团队的重要组成部分。理想的候选人应具备扎实的会计/财务技术背景,具备出色的沟通和分析能力,并能独立工作。他们将与客户和高级管理层合作,建立索赔层级分配模型,创建决策工具和分析,并在整个复杂索赔评估过程中准确向高级管理层、客户及相关利益相关者报告结果和进展。

关键职责

  • 对销售、生产和其他会计数据进行初步到中级分析
  • 实地盘点观察、价格测试
  • 审查与项目相关的原始单据
  • 对长期尾部或复杂商业意外保险索赔的潜在保单风险进行深入定量分析
  • 为大规模侵权案件(包括石棉、危险废物、性虐待与骚扰、PFAS、脑震荡伤害、药品、有毒侵权等)构建和建模损失分配情景
  • 根据客户需求,结合保险、数据和司法管辖区驱动的法律意见,创建定制解决方案以准确建模相关情景
  • 从各种来源收集和整理数据,确保数据的准确性与完整性
  • 按需执行数据清洗和转换以用于建模
  • 检查并校对报告和明细表
  • 进行电话或面对面访谈以获取信息
  • 准备报告叙述和明细表的初步草案
  • 分析并核对索赔至最终计算
  • 研究、数据分析和评估
  • 确保符合州和联邦法律
  • 完成经理指派的其他任务

技能、知识与专长

  • 需要数学、金融、经济或相关领域的学士学位或同等工作经验
  • 至少三年在长期尾部保险索赔分配方面的经验
查看英文原文

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 NoticeIt 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 PolicyAt 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

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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