Software Engineer | Python & SQL Development | Experienced Hire

Overview

We are looking for a Software Engineer to join our Inbound Clearing team. The role involves building systems that support firmwide inbound clearing workflows, data pipelines, and real-time operational visibility. The position requires collaboration with Operations, Treasury, Trading, and cross-functional engineering teams to modernize data feeds and inbound clearing processes.

Platform & Project Work

• Re-architect and enhance inbound clearing pipelines to normalize data across all asset classes, products, and clearing venues
• Develop and maintain automated reporting tools related to financing, margin, cash movements, and exposure
• Drive reconciliation and data quality initiatives to ensure accuracy across positions, balances, and trades
• Collaborate with stakeholders to gather requirements and iterate quickly on enhancements to the clearing and reporting platform
• Use AI-assisted development tooling actively to improve delivery quality and velocity

Operational Support

• Support daily clearing workflows and ensure the accuracy of inbound data used for P&L, financing, RWA, margin, and regulatory reporting
• Troubleshoot data irregularities and partner with Operations to resolve breaks or inconsistencies before they reach the business

What We're Looking For

• Technical Skills:
• 3–6 years of hands-on development experience with strong Python and SQL fundamentals
• Experience designing and querying large, structured datasets; building data pipelines or data-intensive services
• Experience building high-correctness systems where data accuracy matters — reconciliation, reporting, or similar
• Strong analytical and problem-solving skills, with attention to detail and a proactive approach to improving legacy processes
• Able to work independently on multiple projects while maintaining close communication with business stakeholders
• Excellent communication skills for interacting with cross-functional teams and senior management
• Preferred Qualifications:
• Experience within clearing, settlements, treasury, or other financial operations domains
• Exposure to large-scale data platforms or distributed systems (e.g., Hadoop, HBase, Druid)
• A desire to automate manual workflows and build robust, transparent operational systems

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.