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Octus
Posted 71 days agoVerified live 6h ago

Quantitative Analyst

Brief overview

Remote
UndergradOr in progress
$135k–$150k/yrStated range
PythonJavaC#MathematicsFinanceEconomicsPandasNumpyRESTful APIsFinancial data domainsCLOsAsset-based lending

About the company

Octus is a leading global provider of credit intelligence, data, and analytics.

Job description

Summary

Octus is a leading global provider of credit intelligence, data, and analytics. The Quantitative Analyst will work with the analytics team to facilitate client onboarding, improve existing processes, and develop features for portfolio analytics and compliance.

Responsibilities

  • Assist with client onboarding and support. Work 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 to improve and maintain documentation for internal team members

Skills

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

Qualifications

Must Haves

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

Nice to Haves

  • 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

Benefits

  • Competitive health benefits
  • Matched 401k and pension plans
  • PTO
  • Generous parental leave
  • Gym subsidies
  • Educational reimbursements for career development
  • Recognition programs
  • Performance-based annual bonus

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