Actuarial Analytics Lead @Group 1001
All Others
Salary usd 200,000 - 2..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 4d ago

[Hiring] Actuarial Analytics Lead @Group 1001

4d ago - Group 1001 is hiring a remote Actuarial Analytics Lead. 💸 Salary: usd 200,000 - 220,000 per year 📍Location: USA

Role Description

RVI Group, a growing company with a broad portfolio of specialty insurance products, reinsurance, financial solutions, and analytical services, is seeking an experienced in-house attorney to serve as a primary legal partner for:

  • Insurance product development
  • Insurance policy wordings
  • Regulatory matters
  • Day-to-day insurance operations

This role combines deep product and insurance policy-wording expertise with broad in-house insurance responsibilities spanning claims, regulatory, compliance, and corporate matters.

How You'll Contribute

  • Actuarial and Quantitative Analysis:
    • Produce Portfolio Surveillance, Loss Model, Mark to Market and Capital Adequacy reports.
    • Manage loss reserving analysis and methodology across the reinsurance and RVI portfolios.
    • Build and maintain Capital Charge Models for all lines of business and the whole company.
    • Develop scorecards to manage concentration and accumulation risks for the whole company.
    • Provide independent actuarial peer review on reinsurance transactions.
  • Reinsurance Data Pipeline and Data Science:
    • Design, build and own the end-to-end reinsurance data pipeline, covering submission and exposure data from cedent, broker, MGA and fronting partners.
    • Develop and maintain the reinsurance and treaty database, together with the data structures supporting loss reserving methodologies.
    • Ensure model inputs are auditable and defensible for auditors, rating agencies and regulators.
    • Apply statistical and machine learning techniques to insurance data, including claims frequency and severity modeling, fraud and leakage detection, portfolio segmentation and predictive underwriting triage.
    • Perform exploratory analysis on new lines of business where credible internal data is thin and design the data capture required to build that credibility over time.
  • Collaboration and Presentation:
    • Support all new business development for US and international markets, including market research across North American and other developed markets.
    • Provide any requested quantitative analysis and information for various business lines and corporate initiatives.

Qualifications

  • Bachelor’s degree in actuarial science, economics, statistics or related field; advanced degree a plus.
  • 5-7 years’ experience in an analytical position, in P&C insurance or reinsurance.
  • 2-5 years’ experience of managing a quantitative, actuarial or data team.
  • Demonstrated experience building or substantially rebuilding a data pipeline or analytical data platform, rather than solely consuming one.
  • Reinsurance, fronting, MGA or program business experience strongly preferred.
  • Demonstrates initiative, takes ownership and has strong work ethic.
  • Ability to conduct in-depth research on business issues and effectively communicate findings in verbal or written format efficiently.
  • Ability to train, manage and mentor small teams.
  • Strong interpersonal, leadership and collaboration skills.
  • Strong intellectual curiosity with the ability and drive to learn new subjects, tasks and skills quickly; comfortable asking questions and verifying information and requirements.

Technical Skills

  • Strong understanding of actuarial principles, reserving and pricing technique, compliance requirements, risk management technique and financial modeling.
  • Excellent skills and experience in data analyses and data management, including comfort with messy, incomplete and inconsistently formatted real-world insurance data, and the judgment to know when to fix it, flag it or work around it.
  • Advanced SQL and Python. Proficient in Microsoft Excel and working knowledge of statistical software such as R, STATA or SAS.
  • Strong desire to write the query, clean the file, build the model and ship the report personally.
  • Comfortable operating on multiple fronts at once, shifting between strategic modeling work and detailed data remediation without losing momentum.

Nice to Have

  • CAS exam progress or ACAS/FCAS; experience with credit, surety, guarantee or residual value products.

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets. The total compensation for this position ranges from $200,000/year in our lowest geographic market up to $220,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Benefits

  • Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001’s benefits package.
  • Employees (and their families) are eligible to participate in the Company’s comprehensive health, dental, and vision insurance plan options.
  • Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability.
  • All employees (regardless of hours worked) have immediate access to the Company’s Employee Assistance Program and wellness programs—no enrollment is required.
  • Employees may also participate in the Company’s 401K plan, with matching contributions by the Company.
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Actuarial Analytics Lead @Group 1001
All Others
Salary usd 200,000 - 2..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 4d ago
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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