Legal Data Analyst

London, England, United Kingdom

Octus

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.
For more information, visit: https://octus.com/

Working at Octus

Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more. 

Role

Legal Data Analysts are responsible for a variety of duties related to the input, quality, analysis, and improvement of various datasets involving complex legal and financial subject matters. Most of the data we work with is extracted from court filings and various financial documents and used to provide unique insight on distressed and restructuring markets. 

Responsibilities:

  • Expertise in various complex legal and financial topics relevant to the bankruptcy and restructuring industries, with both qualitative and quantitative subject matter
  • Performing complex legal and financial data entry and/or quality assurance
  • Improving data collection and input processes
  • Maintenance and organization of workflows
  • Analysis support for the editorial team
  • Support and mentorship the team’s junior analysts

Requirements:

  • Adept research proficiency: has ability to pick up complicated restructuring topics and approach them with patience and thoroughness is critical to the success of the team.
  • Attention to detail and critical thinking: Language in the source materials is often very nuanced and dense, with minor wording changes having major analysis implications. It is essential to ask questions, think critically and contextually, and spot errors. 
  • Willingness to dive into unfamiliar content with confidence: Since business needs and restructuring market trends are dynamic, the role requires flexibility with what topics are of primary focus. 
  • Diligent organization and workflow management abilities: The volume of content inflow is large and the data collection processes are incremental, with unknown timelines. The interception of actionable workflow triggers and effective organization of queues, progress and completion ensure smooth and timely delivery of complete data.
  • Effective communication: Datasets intersect across various topics, making communication and collaboration vital for workflow efficiency.

 

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