Data Analytics and AI Development and Operations Senior Engineer

• Support the

  Data Analytics and AI Development and Operations Lead

  in executing the teams vision and contributing to platform development initiatives.
• Collaborate with Indias team.
• Implement components of the system architecture for scalable audit automation and AI platforms, based on guidance from the Lead.
• Contribute to Buy vs Build evaluations by providing technical feasibility assessments and implementation effort estimates.
• Implement reusable, production-grade audit software components.
• Build and maintain robust data pipelines and AI/ML workflows to support audit analytics and reporting.
• Deploy and operationalize machine learning models with a focus on reliability, performance, and maintainability.
• Ensure operational stability through CI/CD automation, system monitoring, and proactive troubleshooting.
• Drive best practices in software development, testing, deployment, and documentation.
• Collaborate with auditors and business team members and fellow analytics team members to validate any assumption taken during the implementation and to validate the completeness and accuracy of the technical solutions deployed.
• Understand and leverage Tradewebs technology stack to maximize integration and reduce the platform technology risk/debt.
• Apply a pragmatic, ROI-driven approach to the technology selectionleveraging advanced solutions only when justified.
• Promote a parsimonious approach to data load only retrieving and storing the information required.
• Facilitate the compliance of the data stack with the Data Policies of Tradeweb.
• Document system designs, deployment processes, and operational procedures for long-term sustainability.

• 5+ years of proven experience in cross-regional collaboration in the financial industry.
• Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Strong proficiency in Python, SQL, and one or more modern programming languages.
• Experience with data pipeline orchestration tools, rest API and ETL frameworks (Snowflakes).
• Familiarity with ML model deployment.
• Excellent communication skills and a high degree of autonomy, with the ability to collaborate effectively both the local team and with a core team based in New York and operate seamlessly across time zones.
• Comfortable working in a remote, globally distributed environment with accountability and initiative.
• Expertise in software development best practices, including modular design, code reusability, testing, and documentation.
• Hands-on experience with SQL and NoSQL databases, data modeling, and performance optimization for audit and analytics use cases.

Wide range of technology exposure including:

• multiple programming language : Python, C++, Javascript, VBA available data tools for visualization Tableau, PowerBi, HTML databases: SQL, Snowflakes
• AI/Ml platform : KNIME, ALTERYX
• code and no code development tools.