The Specialist QA Engineer will design and maintain automation tests, integrate testing into CI/CD pipelines, and mentor team members while ensuring quality standards. Requires 8+ years of QA experience.

Design, develop, and maintain data pipelines in Snowflake, optimize SQL queries, and integrate with various data sources while ensuring data quality and compliance.

The Azure Data Scientist is responsible for designing and deploying machine learning models on Azure, using various technologies for data preparation and model monitoring, and collaborating with teams to deliver AI solutions.

Design and develop backend services using Java frameworks, ensuring system performance and reliability while supporting DevOps activities in financial projects.

Design and implement scalable AWS infrastructure, manage CI/CD pipelines, and automate deployment processes using various tools and scripting languages.

This role involves shaping quantitative aspects of trading systems, analyzing workflows, designing solutions, and improving data management in collaboration with stakeholders.

The Murex Quantitative Analyst will develop pricing models, conduct risk analysis, enhance the Murex platform, and engage in continuous research to optimize quantitative methodologies.

As a Compass System Analyst Intern, you will design and build insurance product solutions, communicate with clients, and conduct systems testing while receiving full training.

The Senior Quantitative Analyst will develop and implement quantitative models and risk assessment strategies for financial clients, collaborating with teams and enhancing analytical frameworks.

The AWS MLOps Engineer designs, implements, and maintains ML solutions on AWS, collaborating with teams to deploy models and ensure compliance.

The Murex Application Developer will design, develop, and enhance Murex solutions, ensuring integration with third-party systems and performing testing and quality assurance to meet client needs.

Develop and manage data pipelines on AWS, utilizing Glue and various AWS services for ETL processes, and collaborating with stakeholders to design data solutions.

The Middle Office Resource will assist clients with trade life cycle events, ensure accurate product valuation, and resolve Profit and Loss discrepancies.

The AWS Solutions Architect will design and implement AWS cloud solutions, optimize environments, lead migrations, and mentor junior engineers.