Software Engineer - Python, Business Operations
Akuna Capital
- Location
- Chicago, IL
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Salary
- $145k/yr
- H-1B history
- 20 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
About Akuna
Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models.
Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London, and Singapore.
What you'll do as a Software Engineer - Business Operations at Akuna:
This role is the primary ongoing development resource for Business Operations technology, primarily supporting Procurement, Finance, and Human Resources. The current priority is a data infrastructure project that consolidates cost data from several internal systems into a unified cost-attribution framework, but the role is not scoped to that project alone - it will take on a broadening range of development work across these functions over time. A defining requirement of this role is applying AI capabilities - through native AI features in existing tools, API integrations, and protocols such as MCP (Model Context Protocol) - to improve data workflows, reporting, and operational processes across these functions. In this role, you will:
• Lead the development efforts for our FP&A Cost Attribution Project
• Serve as lead developer for the development of a bitemporal PostgreSQL database that enables traceable cost allocation, with a schema designed to become more granular as business requirements evolve
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