Waters Rankings 2023: Best sell-side order management system (OMS) provider—Bloomberg

Product/service: Bloomberg TOMS

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Overview

Bloomberg TOMS provides sell-side firms with multi-asset capabilities for front-end portfolio management, trading, and middle- and back-office operations. With access to integrated data and pricing alongside a suite of electronic trading tools and market connectivity, firms are able to integrate risk to create an end-to-end workflow. 

“TOMS continues to play an important role in enabling sell-side firms to tackle challenges from reducing technology stacks to streamlining processes. With strong data and analytics underpinning OEMS functionality, the solution is uniquely designed to help trading desks strengthen their execution and improve decision-making for the benefit of their clients, while also gleaning valuable insights.”
Lisa Bravo, global head of sell-side OMS, Bloomberg

The solution

Bloomberg TOMS enables sell-side firms to optimize workflows, drive efficiencies, and manage risk, compliance, and regulatory reporting obligations. Users are able to view actionable liquidity in real time, receive decision support and navigate multi-asset straight-through processing, reflecting market movements and developments to ensure consistent improvement.

Secret sauce

Bloomberg TOMS is delivered with all of Bloomberg’s datasets, pricing tools and analytics integrated across workflow applications and automation engines. The platform is constantly evolving and includes current automation tools giving users plug-and-play components to support their workflows, while also leveraging the broader Bloomberg community of buy-side and sell-side players.  

Recent milestones

  • AI integration that outlines liquidity specific to individual trading desks
  • Conversational metrics derived from natural language processing (NLP) trading models used to implement real-time chat feeds
  • Further expansion of analytics across assets class—i.e., bucketed term structure interest-rate risk for fixed-income-based ETFs and mortgages
  • Expansion of electronic trading workflows to interest-rate derivatives for both native Bloomberg trading venues and third parties 

Future objectives

  • Continued investment in modernizing its broader tech stack to handle growing trade volumes and evolving trade patterns
  • Continued investment in opening its architecture, providing client developers with access to Bloomberg services and trading datasets via API
  • Continued investment in trade automation and infrastructure enhancements to enable lower latency workflows and analytics expansion

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