Python Software Engineer (Fixed Income & Macro)

New York

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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.

Software Engineer (Fixed Income & Macro) - Python
New York / Remote

We are looking for a talented Software Engineer to join our growing Fixed Income & Macro trading team. Someone who is passionate about software development and can help build, maintain, and optimize our code base. Preference if the candidate is also passionate about working with financial data and (or) AI / LLMs.

Responsibilities:

  • Develop front office trading and research applications using Python.
  • Build and maintain interactive dashboards using Dash or similar UI framework
  • Develop robust data ingestion logic and downstream output pipelines.
  • Collaborate with investment professionals in your immediate team, and technologists across the business.

Qualifications:

  • Bachelors or Masters in computer science or related field of study
  • 5+ years of professional experience
  • Strong proficiency in Python, ideally with an understanding of financial data manipulation (e.g. pandas) and dashboarding libraries (e.g. Dash).
  • Experience in designing and programming SQL databases and / or MongoDB.
  • Experience of collaborating on codebases and using software development tools like git and Jenkins.
  • Experience with AWS based system architecture (e.g. EC2.)
  • Proficiency in crafting robust code, including unit tests and object-oriented design.
  • Experience with pydantic a plus.
  • Experience working with AI / LLMs a strong plus.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture AWS Computer Science EC2 Git Jenkins LLMs MongoDB Pandas Pipelines Python Research SQL

Region: North America
Country: United States

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