Great opportunity to build the next generation platform connecting data and decision makers.

Job Description:

  • Designing and developing functional and/or technical capabilities within large scale services and focusing on multiple product domains and technologies
  • Taking full ownership of various features and product areas
  • Review and debug code
  • Perform validation and verification testing
  • Working according to high execution standards, while adhering to project goals and ensuring high quality
  • Providing in-depth technical knowledge and guidance to other team members, according to identified needs
  • Demonstrate passion and experience in building responsive, elegant, and engaging experiences with future-friendly web technologies
  • Make necessary adjustments to usability behaviors to improve the user experience
  • Possess good troubleshooting, multitasking, and communication skills
  • Learn new development tools, techniques, and standards
  • Collaborate with internal teams to fix and improve the software
  • Ensure software is up-to-date with the latest technologies

Requirements:

  • 3+ years of experience building highly scalable, Web applications as a full stack developer
  • Familiarity with back-end technologies like MongoDB
  • Experience in building Web applications with React
  • AWS Cloud technologies (EC2, S3, Security best practices, Backups)
  • Experienced with Gihub
  • Production awareness
  • Start-up minded, ability to think in an agile way and be a natural problem solver
  • Contribute to all phases of the product development: design, develop, test, deploy, maintain and improve
  • Familiarity with Monitoring tools
  • Ability to quickly learn new concepts and technologies
  • Have some known contribution in the open source – advantage
  • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering
  • Superb communication skills (both oral and written) in English

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Punch Above Your Weight Class

Until now the world of alternative-data analysis was too complex, too costly, and too difficult for all but the biggest firms. No longer. Lagoon allows small teams to leverage the best data quickly, easily, and more affordable than ever before. Join the whales and supercharge your analysis.

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FAQs

External data is any data other than traditional financial data that an investor can use to better inform investment decisions. Examples include app usage, geo-location, website traffic, social sentiment etc…

Industry-leading firms, like Blackrock, Citadel, and Renaissance Group are already using External data to guide their investment strategies. They achieve higher returns and alpha by leveraging prohibitively expensive proprietary datasets, teams of data scientists, and virtually unlimited research budgets to craft their investment strategies.

Ten times lower than the industry average. Our mission is to level the playing-field and eliminate unfair advantages. That means giving equal access to cutting-edge data at a fair price point.

NO! Anyone can use Lagoon. Our platform is accessible to everyone, yet sophisticated and powerful enough to unlock the promise of alternative data in capital markets.

Resources & Use Cases

See how others have used Lagoon to generate real-world returns and outperform the market.

Etsy By examining real-time data (online advertising spend, hiring, and web-traffic) we concluded that traditional analysts had missed clear growth signals.

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 Delta Everyone knows that COVID numbers are down, flyers are up, and Summer 2021 is upon us, but this is only the surface. What story does the deeper alternative data tell us?

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 Starbucks Coffee was king during the work-from-home period, but as people get back into the world and into the office, with the Seattle coaster maintain its meteoric growth or come crashing back to reality? Find out how alternative data can provide context for the king of Coffee.

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 Tesla Alternative data tells us an interesting story. After examining real-time data (hiring, social media following and AI-based scoring) Tesla’s growth story may be far from over. The manufacturer is hiring more than ever, has more social-media reach than ever, and has an regained growth for AI-based scoring on fundamentals, technicals, and sentiment.

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 Uber COVID put real pressure on ride-hailing companies, but despite the challenges, alternative data appears to tell a more complete story. The real-time data (app usage and credit card transactions) suggests Uber is poised to outperform analysts’ estimates. See how we used active users and credit card transaction data to predict the company's performance well-ahead of earnings reports.

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 Walmart COVID-19 turned into business for online retailers and Walmart was no exception. The retailer profited immensely from the pandemic as their pre-COVID pivot to online sales bore fruit and their stock reached an ATH in late 20210. See how we tracked advertising spend and social sentiment to predict the retailers' key financials before quarterly earnings calls.

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ACCESS USE CASES

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