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Verition Fund Management

Treasury Engineer

Reposted 5 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Develop and maintain treasury systems, optimize trade processing, collaborate with software engineers and finance teams, and improve service performance.
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Firm Overview

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

Responsibilities

  • Design, build, and maintain systems to calculate and manage margin requirements, financing interest, and funding costs across asset classes.
  • Design and build scalable systems for near real-time trade processing and portfolio optimization.
  • Collaborate with global team of software engineers, quantitative researchers, Portfolio Finance, Repo traders to deliver robust solutions
  • Improve performance and resilience of existing services, and optimize data access patterns.
  • Maintain open curiosity and an ownership mentality of all aspects of our Treasury systems & workflows

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 3+ years of hands-on experience in a professional software development environment
  • Working experience in Python, Java, or other object-oriented programming languages
  • Strong computer science fundamentals, analytical abilities, and problem-solving skills
  • Experience with AWS or other cloud technology is a plus
  • Familiarity with relational database systems and SQL (e.g., Oracle DB, PostgreSQL)
  • Knowledge of global portfolio financing/funding, trading workflows, or post-trade lifecycle processes is a plus
  • Excellent communication and teamwork skills to effectively collaborate with global team members
  • Ability to manage multiple tasks in a dynamic environment

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