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Octus

Credit intelligence, data, and workflow tools

Quantitative Analyst

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Bachelor’s degree in Mathematics, Computer Science, Finance, Economics, or a similar field with a strong quantitative emphasis.
  • Experience with an object-oriented programming language such as Python, Java, or C#.
  • Ability and desire to understand and communicate problems from both financial and technical points of view.

Responsibilities

  • Assist with client onboarding and support by working with the analytics team, data team, and business analysts to understand client data, configure portfolio compliance and analytics, and debug calculation issues.
  • Implement, test, and maintain new functionality for portfolio compliance and onboarding.
  • Help improve and maintain documentation for internal team members.

Desired Qualifications

  • Experience with core financial data domains, including issuers, instruments, industries, ratings, and pricing.
  • Familiarity with CLOs and asset-based lending.
  • Experience with analytic Python libraries such as Pandas and NumPy.
  • Familiarity with RESTful APIs and applications.
  • Experience with AI tools such as Claude Code or Google Gemini.

About the Company

Octus

Credit intelligence, data, and workflow tools

Octus provides credit intelligence, data and workflow tools for professionals in the high-yield, leveraged loan, private credit and restructuring markets. Its offerings combine journalism, legal and financial analysis with technology to publish news, data and analysis across the credit lifecycle, used by more than 35,000 professionals at investment banks, asset managers and law firms. The workflow tools organize and connect data and insights to support credit decisions—from monitoring and due diligence to restructuring—across multiple credit markets. What sets Octus apart is its integrated team of reporters, analysts and technologists who produce original news and analysis while delivering structured data and workflow capabilities tailored to credit professionals. The goal is to provide timely, credible intelligence and practical tools that help clients manage risk and seize opportunities in the credit markets.

Company size
501-1,000
Company stage
Acquired
Total funding
$1.3M
Headquarters
New York City, New York
Founded
2013

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