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Verition Fund Management LLC

Junior Equity Quant Researcher

Verition Fund Management LLC
United Kingdom · Full-time · Not Applicable

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.

We are seeking a Quantitative Researcher to join a systematic Equities team in London. The team’s approach is unique, working at the intersection of the systematic and fundamental investment processes, with a strong track record of alpha-generation. This is a front-office role, you will be involved in the whole investment process with a direct contribution into the team’s bottom line. You will be given the opportunity to steer the role in your preferred direction, as you focus more on the alpha-generation angle or on the infrastructure angle over time.

Responsibilities

  • Help management and scaling-up of a quantamental, mid-frequency, equities portfolio
  • Day-to-day oversight fo theproduction processes
  • Research and develoment of new signals: including idea generation, data ingestion, research and trading
  • Build-out of the systematic trading infrastructure

Required Qualifications

  • 1-3 years as a Quantitative Researcher, Quantitative Developer, Data Analyst or Data Scientist
  • Experience with equities and equities data (alternative data, market data, fundamental data)
  • BSc / MSc / PhD in technical discipline from a top university
  • Experience using Python in a production setting (expertise in Pandas, Numpy, Airflow…

Preferred Qualifications

  • Exposure to the systematic trading process
  • Experience with cloud infrastructure (AWS preferred) with working knowledge of multiple AWS services (S3, EC2, EKS, SQS, Redshift, IAM, ...)
  • Experience working in a Linux environment
  • DevOps tools: Airflow, Git, Jenkins, Docker, Kubernetes
  • Big Data tools: e.g. Databricks, Snowflake, Redshift
  • Exposure to the fundamental investment process (e.g. Data Analyst working alongside fundamental PMs)
  • Experience with web-scraping
  • Experience with execution, TCA and commercial risk-models
  • Open to candidates from the buy-side (HF and asset managers), sell-side (Equity research) and alternative data vendors

Key Skills

Ranked by relevance

aws jenkins python docker pandas linux cloud numpy git eks sqs s3
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Posted
Jul 11, 2025
Type
Full-time
Level
Not Applicable
Location
London

Industries

Construction

Categories

Research Engineering

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