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, 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.
Octus New York, New York, USA Office
Octus NYC Office Office
We're located in the very central Flatiron District, with lots of transportation options (and just across the street from Madison Square Park!).
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