![]() Two Sigma Insurance Quantified is an underwriting technology provider that arms commercial property and casualty insurance carriers and MGAs with the data and analytics they need to grow their business, improve underwriting profitability and be a preferred partner and employer. In October, TSIQ announced its partnership with Central Analysis Bureau (CAB), a leading provider of risk assessment tools and data for the transportation insurance industry.Ībout Two Sigma Insurance Quantified (TSIQ) Incorporation of NominoData's OFACplus dataset directly within SubmissionIQ represents the latest partnership underscoring TSIQ's best-of-breed approach at collaboration to drive better, more efficient underwriting decisions. "Our partnership enables enhanced transparency through greater and easier access to data, true tenants of data-driven digital transformation that both our companies value." "We are excited to make OFACplus available to TSIQ's client base and look forward to working together to further simplify fraud detection," said Al Macdonald, Chief Executive Officer of NominoData. "NominoData's innovation and commitment to empowering better risk management complements our mission of applying a more systematic underwriting process to promote safer practices." By integrating the OFACplus dataset with our SubmissionIQ platform, we're further enhancing the underwriter's experience and instilling confidence along the way," said Jeff Tyler, Head of Product, Data Science, and Engineering at Two Sigma Insurance Quantified. "At TSIQ, we are committed to making sure underwriters have the data where and when they need it to make more informed and consistent decisions. Use cases in TSIQ's currently active industries include fraud detection in commercial transportation for firms to better verify company and driver identity, and professional liability programs to validate businesses and individuals within a practice. ![]() ![]() Through an API integration with SubmissionIQ, underwriting teams can quickly and easily call the data to verify an individual or company identity, flagging any high-risk information. The OFACplus dataset aggregates high-risk watch lists into a single, easily consumable data file to help manage risk and sanctions.
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