Red Swan Risk

Red Swan Risk

Information Technology And Services, 250 Greenwich St, New York, 10007, United States, 1-10 Employees

redswanrisk.com

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Who is RED SWAN RISK

Red Swan's trusted data validation, analytics expertise and custom reporting empower Hedge Funds, Pension Funds, Funds of Funds and Asset Managers to clearly understand, monitor and commu...

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  • 250 Greenwich St, New York, New York, 10007, United States Headquarters: 250 Greenwich St, New York, New York, 10007, United States
  • 2008 Date Founded: 2008
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: $1 Million to $5 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 6726

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Frequently Asked Questions Regarding Red Swan Risk

Answer: Red Swan Risk's headquarters are located at 250 Greenwich St, New York, 10007, United States

Answer: Red Swan Risk's phone number is +12*********

Answer: Red Swan Risk's official website is https://redswanrisk.com

Answer: Red Swan Risk's revenue is $1 Million to $5 Million

Answer: Red Swan Risk's SIC: 6726

Answer: Red Swan Risk has 1-10 employees

Answer: Red Swan Risk is in Information Technology and Services

Answer: Red Swan Risk contact info: Phone number: +12********* Website: https://redswanrisk.com

Answer: Red Swan's trusted data validation, analytics expertise and custom reporting empower Hedge Funds, Pension Funds, Funds of Funds and Asset Managers to clearly understand, monitor and communicate risk. The RiskON solution provides users with access to a robust infrastructure on AWS that provides full integration with industry standard risk analytics, secure data storage, risk aggregation, and reporting through a web application and modern API. Founded in 2008, Red Swan specializes in risk system services for hedge funds, pension funds, funds of funds, and asset managers. We provide consulting and software development across the entire risk process and deliver complete end-to-end integrated risk reporting solutions. We have the experience and expertise with industry standard risk applications, analytics, models, data and processes that are required to successfully manage complex implementation, configuration, model validation, data integration, reporting and monitoring projects.

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