You are opening our Spanish language website. You can keep reading or switch to other languages.

Revolucionando la toma de decisiones de inversiones: plataforma agnóstica de la nube para una startup de trading

Ubicación

Estados Unidos

Industria

Client

The client is a dynamic startup in the next-gen investment banking space offering investment services, such as research, advice, and execution for investment managers and other financial institutions.

Highlights

DataArt has developed a modern data analytics and technology platform for the client that empowers a team of quants, data scientists, and financial analysts. This platform facilitates the development, execution, and evolution of models for pricing, risk assessment, investment strategies, trading algorithms, scenario analysis, portfolio analytics, and market surveillance.

The key features of the platform include:
  • Automatic management of data lake and multiple data pipelines through a workflow engine.
  • Provision of batch and real-time data processing engines that offer tools (BI, reporting, ad-hoc querying, notebooks), and APIs for accessing data and analytics for a wide range of user workloads.
  • Deployment in AWS with a cloud-agnostic approach and a microservices architecture.
  • Use of Python, Scala, Spark, and AWS Athena for data workloads.
  • Processing of over 30 sources of market, fundamental, and alternative financial data, amounting to more than 2TB.

Client Benefits

  • The platform is a core part of the client’s business as it improves the investment decision-making process.
  • The implemented solution made processing and analyzing data fast and error-proof.
  • Due to the platform’s cloud-agnostic nature, the client can easily license its technology to institutional investors, asset managers, and other buy-side firms, opening up additional business growth opportunities.

Technologies

Python
Scala
Kuberenetes
Apache Airflow
Flask
Jupiter Notebook
Kafka
Spark
AWS
Contáctanos
Por favor, deja tus datos y te contactaremos a la brevedad.