Salary
$80k per year
Location
Remote (United States)
Employment
Part-Time
Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
This role is for one of our clients
Compensation: $40 per hour (Monthly payout)
Commitment: 10 hours per week
We are seeking an experienced Commercial Insurance Underwriter to support the development and evaluation of advanced, technology-driven underwriting workflows. This role involves applying deep domain expertise to refine automated systems for risk assessment, underwriting logic, and rating accuracy. It is well suited for seasoned professionals looking to contribute to innovative, project-based work in the insurance analytics space.
Requirements
Key Responsibilities
- Review application data, loss runs, and third-party reports (CLUE, MVR, LexisNexis) to assess underwriting eligibility.
- Calculate premiums using ISO manuals, class codes, and carrier-specific rating models.
- Analyze past claims to identify loss trends and determine loss ratios relative to industry standards.
- Draft policy terms and prepare coverage documents, including endorsements and declarations.
- Evaluate referred cases and provide well-documented underwriting decisions with clear risk recommendations.
Ideal Qualifications
- 5+ years of experience in commercial or personal lines underwriting, with familiarity in platforms like Guidewire or Duck Creek.
- Strong understanding of ISO classification codes, rating manuals, and policy forms.
- High attention to detail and ability to assess risk across multiple data sources.
- Experience working with multi-line policies such as property, auto, and general liability.
- Skilled in reviewing third-party insurance data reports for decision-making.
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