Quantitative Analyst

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

We are seeking a Quantitative Analyst for the analytics team at Sky Road, Octus’

state-of-the-art enterprise software platform for credit management

professionals.

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

• * 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

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
• Preferred
• * 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
• At Octus, we consider a range of factors in connection with compensation
• decisions, including experience, skills, location, and our business needs and
• limitations. As a result, compensation may vary within and across similar roles
• and positions. Please note that the salary range information below is a good
• faith estimate for this position and actual compensation for any individual may
• fall outside this range if warranted by the circumstances applicable to that
• individual. If we identify a role that would be suitable for a broader range of
• skills and experience such that we would consider hiring at multiple levels then
• the range listed below may reflect that breadth.
• 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. This position is eligible for
• a performance-based annual bonus.

Equal Employment Opportunity

Octus is committed to providing equal employment opportunities to all employees

and applicants for employment without regard to race, colour, religion, sex,

sexual orientation, gender identity, national origin, age, disability, genetic

information, marital status, pregnancy, veteran status, or any other legally

protected status. We strive to create an inclusive and diverse work environment

where all individuals are valued, respected, and treated fairly. We believe that

diversity enriches our workplace and enhances our ability to innovate and

succeed.