Software Engineer | Python & SQL Development | Experienced Hire

We are looking for a Software Engineer to join our Inbound Clearing team where you will be a hands-on contributor building the systems that support firmwide inbound clearing workflows data pipelines and real-time operational visibility. This role sits at the intersection of technology financial operations and treasury workflows ensuring the firm has accurate timely and normalized data to support downstream reporting reconciliation and decision-making.

You will partner closely with Operations Treasury Trading and cross-functional engineering teams to modernize the data feeds and inbound clearing processes that power firmwide reporting. Much of your work will focus on improving system resiliency re-architecting legacy pipelines and enhancing transparency through better analytics tooling systems where correctness is not optional and your output is consumed daily by the business.

An ideal candidate brings strong Python and SQL fundamentals a positive attitude a passion for solving problems and adding value however possible and a strong desire to learn the business.

• 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

• 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

• 36 years of hands-on development experience with strong Python and SQL fundamentals
• Comfort designing and querying large structured datasets; experience 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
• Ability 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
• Bachelors degree in Computer Science Engineering Mathematics Finance or a related field (relevant experience may substitute for education)

• 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

• Work on systems that matter: your pipelines and reporting are consumed daily by Operations Treasury and the business and accuracy is paramount
• Real end-to-end ownership you wont be handed narrow tasks; youll own meaningful pieces of the clearing and reporting platform
• Opportunity to build not just maintain we are actively modernizing legacy pipelines and expanding analytics tooling
• A non-hierarchical collaborative environment that empowers developers to make direct business impact
• Work in an environment that actively invests in AI tooling and expects engineers to use it

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.

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