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, 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