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Development of a Real-time Financial Analytics and Risk Management Platform
  1. case
  2. Development of a Real-time Financial Analytics and Risk Management Platform

Development of a Real-time Financial Analytics and Risk Management Platform

syberry.com
Financial services
Information technology

Identifying the Challenges in Developing a Real-time Investment Platform

The client faces the challenge of balancing evolving software requirements with the need for rapid deployment of a novel investment management system. Developing a market-unique application without existing solutions presents complexities in defining system behavior and maintaining a tight release schedule amid ongoing requirement changes.

About the Client

A technology-driven investment management firm specializing in systematic trading strategies, seeking to automate research and execution processes for trading and risk assessment.

Goals for Building a Cutting-Edge Financial Trading and Risk Platform

  • Implement a real-time market data streaming widget to enable Portfolio Managers to monitor live market indicators effectively.
  • Develop advanced risk allocation tools that gather, analyze, and visualize market news, economic events, and predictive risk algorithms for investment strategies.
  • Create a dynamic risk dashboard to alert Risk Officers when indicators approach risky zones and allow immediate strategy adjustments.
  • Establish a secure sandbox environment for Portfolio Managers to develop, test, and share investment proofs of concept without affecting core strategies.
  • Integrate multi-layered security measures adhering to zero-trust principles and microservice architecture to protect data and code integrity.
  • Deliver an MVP within 6 to 12 months to accelerate decision-making and maintain a competitive edge in the financial industry.

Core Functionalities and Features of the Financial Analytics System

  • Real-time market data streaming widget utilizing external news and information feeds.
  • Risk allocation tool that aggregates data sources and applies algorithms, including external factors like weather data, for investment risk prediction.
  • Visualized real-time news, economic events, and alert setup for quick response to market-impacting occurrences.
  • A risk dashboard displaying indicators with normal ranges, alert mechanisms, and options for manual adjustments.
  • A secure sandbox environment enabling strategy development, testing, and sharing among Portfolio Managers.
  • Implementation of security frameworks including zero-trust policies, supply chain security for CI/CD pipelines, and microservice-based architecture.

Technologies and Architectural Frameworks for the Platform

Kotlin, Python, and Java for backend development
React with Material UI for frontend interface
AWS cloud infrastructure with Terraform and Terraspace for deployment
Docker for containerization
CI/CD pipelines utilizing GitHub Actions
Data analysis with Pandas/NumPy, SQLAlchemy, and Dagster
Security measures aligned with zero-trust architecture

External Systems and Data Sources Integration Needs

  • External news and market data providers for real-time streaming
  • Weather data APIs for predictive risk analysis
  • Economic and company announcement feeds
  • Internal analytics tools for strategy testing and assessment

Performance, Security, and Scalability Considerations

  • System to support low-latency real-time data streaming
  • High availability and fault tolerance to ensure uninterrupted data flow
  • Zero-trust security model at all layers to protect sensitive data
  • Microservice architecture to enable scalability and modular updates
  • Compliance with financial industry security standards and best practices

Anticipated Business Benefits and Strategic Advantages

The platform aims to significantly improve operational efficiency for Portfolio Managers and Risk Officers by enabling real-time decision-making, quicker response to market changes, and effective risk management. Expected outcomes include accelerated deployment of trading strategies, enhanced security posture, and a competitive edge through innovative analytics—ultimately facilitating more informed investments and higher returns.

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