# Quantitative Developer

**Company:** [Octus](https://hotfix.jobs/companies/octus)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $135k – $150k/yr
**Skills:** Python, Java, C#, pandas, NumPy, REST APIs, Financial Data, Clos, Asset-Based Lending
**Posted:** 2026-06-02

> Quantitative Developer building and maintaining portfolio compliance and analytics features. Works cross-functionally to onboard clients, debug calculations, and implement new functionality. Requires strong Python/Java/C# skills and quantitative background.

## Job Description

## 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

## Compensation
- Salary range: $135,000-$150,000
- Eligible for performance-based annual bonus

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