Front Office Software Engineer

We are looking for a full-stack software engineer to build tools and systems used directly by front-office trading teams. In this role, you will design and develop Python services, APIs, data pipelines, and modern front-end interfaces that support real-time market analysis, supply-and-demand modeling, and position management. You’ll work closely with traders and quantitative analysts to translate complex business needs into scalable, cloud-native solutions that improve decision-making and streamline trading workflows in a fast-paced, high-performance environment.

Responsibilities

• Collaborate directly with trading and commercial teams to optimize trading workflows and support analytical model development.
• Build and maintain Python-based services, APIs, and internal tools using modern frameworks and scalable design patterns.
• Develop solutions aligned to supply–demand modeling, market data ingestion and analysis, real-time monitoring, and position management.
• Design and implement cloud-native components and user-facing interfaces—such as dashboards, analytics views, and visualization tools—that integrate into front-office platforms.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related STEM field
• 5+ years of full-stack engineering experience with Python and front-end frameworks like React or Angular
• Strong understanding of object-oriented programming concepts
• Familiarity with cloud platforms (e.g., AWS) and modern data warehousing technologies (e.g., Snowflake)
• Comfortable in both Linux and Windows environments
• Experience with DevOps practices, CI/CD pipelines, and modern software delivery workflows
• Interest in or exposure to financial markets, quantitative trading, or commodities
• Strong communication skills and an ability to work effectively with both technical and non-technical users
• A proactive, detail-oriented mindset with the ability to adapt to shifting priorities
• Ability to operate efficiently in a fast-paced, high-intensity trading environment, including occasional extended hours as needed

Compensation: $140,000 to $220,000 annually

Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.