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The role involves enhancing backend servers for real-time trading applications, contributing to project lifecycles, and addressing development issues in a C++ environment across Windows and Linux.

The Data Platform Engineer will support Corporate Data Science and Analytics teams by curating datasets, optimizing code, and building ETL flows for data products. Responsibilities include managing production services and using cloud technologies.

The Senior Java Engineer will develop core trading infrastructure, optimize market data communication, and enhance trading systems for fintech clients. Requires expertise in backend technologies and Java development.

The AI/ML Lead will design intelligent systems integrating large language models, develop NLP solutions, and create recommendation engines for efficient decision-making in electronic trading.

As a Regulatory Reporting Manager, you will oversee regulatory reporting operations, analyze requirements, ensure compliance, facilitate stakeholder engagement, and drive process improvements.

Lead the creation and execution of an enterprise Data Governance program: define ownership models, policies, standards, data quality/lineage/security/privacy controls, AI data standards, risk and regulatory reporting oversight, governance KPIs, and select governance tooling while driving cross-functional adoption and senior stakeholder engagement.

Lead the firms data risk management function: design and implement enterprise data risk frameworks, enforce controls across data lifecycles, oversee AI/ML model-data risks, map and mitigate risky data flows, drive incident RCA and remediation, and embed data risk into firm governance across technology, operational, and model risk domains.

Design and deliver end-to-end architecture and implementation for Fixed Income trading systems, reporting and analytics integrations, tests, CI/CD, and resilient distributed systems. Mentor engineers and promote modern, efficient system and code paradigms to boost developer productivity and reliability.

Design and build AI-powered tools to accelerate incident detection, triage, root-cause analysis, and automation for Credit trading production. Partner with support, development, and AI teams to embed AI into workflows, maintain high availability, analyze logs/metrics, and measure reductions in MTTR and operational toil.

Develop data-driven insights, predictive models, and analytical tools for U.S. Rates trading. Build dashboards and applications, leverage AI/agentic tools and ML techniques, partner with product and sales, and identify revenue-generating data products to drive strategy and improve client outcomes.