Quantitative Analyst

Octus · Chicago, IL · 1 wk ago

RemoteRemoteAnalyst$135k–$150k/yrFull-time

About the role

The Quantitative Analyst will work together with the analytics team, data team, and business analysts to facilitate client onboarding, improve existing onboarding processes, and debug, test, and build features for portfolio analytics and compliance. This is a cross-functional role that requires strong communication, organization, and collaboration skills.

Responsibilities

Aid in 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

Requirements

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

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.

Skills

Strong communication, organization, and collaboration skills.

Benefits

Pay

The salary range estimate for this position is $135,000-$150,000. The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors.

Schedule

N/A