DiligenceVault

DiligenceVault

Backend Engineer at Startup - backed by Goldman Sachs

New York, NY | $124K - $152K

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Qualifications

  • 2-8 years experience as Back End Engineer
  • Strong problem solving skills
  • Deeply understand CS concepts, data structures & design
  • Experience with Relational database development - SQL Server in particular, query optimisations, complex queries
  • Excellent database development experience is a strong plus
  • Have other scripting and classical language skills (bash, perl, Ruby, etc)
  • Aware/Used devops tech toolset - jenkins, monit, supervisor, git etc
  • Strong desire to learn/excel
  • Are motivated to work in startup environment
  • Are Data-driven, constantly testing (unit and functional), iterating, and releasing code and keeping coding standards high

Company information

DiligenceVault is the first two-sided and global fund diligence ecosystem for the investment management industry which supports both institutional and wealth investors and their investments across ETFs, Mutual Funds, Hedge Funds, and Private Markets strategies. End investors and allocators leverage the platform to digitize and automate their diligence processes and significantly cutting their time to analyze data. RFP, investor relations and portfolio specialist teams at asset managers adopt the platform to digitize and centralize all of their investor content and Q&A, collaborate as teams, and leverage our intelligent algorithms to deliver a responsive and modern experience to their investor clients. As a team, we believe in and deliver a data driven diligence experience to the industry significantly cutting down cost for all involved, and getting our clients ready for the future of data.

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51-200 employees
Financial Services, Technology, Investment Management, Data Management, Fintech
Privately Held
Last round: Nov 23, 2019
Last round: US$ 6.0M
New York, New York
Company Specialties:
Due-diligence, ODD, Hedge Funds, Private Equity, Alternative Mutual Funds (Liquid Alternatives), Manager Selection, Investment Research, Traditional investments, SEC ADV Filings, Natural Language Processing, Workflow Automation, Data Analytics, RFP, DDQ, Collaboration, Digitization, ETFs, and Manager Research