The Azure Data Architect will design high-performance data architectures on Azure, lead cloud migration projects, and advise clients on data solutions while ensuring robust governance and compliance standards.

Lead migration from MSSQL/MicroStrategy to Databricks and Power BI, develop data models, and ensure data quality for analytics solutions.

The Business Analyst will analyze client needs related to fraud prevention, document requirements, create specifications, deliver training, and coordinate user testing.

The Business Analyst will analyze fraud trends, support fraud detection strategies, collaborate across teams, and maintain performance dashboards.

The Data Scientist will develop and implement fraud detection models, collaborate with teams, communicate findings, and create scalable data pipelines.

The Advanced Software Engineer will write efficient Java and database code, mentor others, enforce best practices, and provide project support.

The Data Scientist will analyze client data, engineer features, optimize models, and communicate insights to improve risk prevention solutions in collaboration with various teams.

The Advanced Software Engineer writes efficient Java and database code, guides teams, reviews code, and ensures best practices in software development.

The Project Manager will lead cross-functional software and data science projects, manage client relationships, coordinate with teams, and ensure successful delivery of solutions while mitigating risks.

The role involves managing cloud infrastructure in Azure, implementing automation via Azure YAML pipelines, ensuring system performance, and collaborating to support deployments.

The Full Stack Java Sr. Developer will design and develop web applications, enhance case management systems, and collaborate with stakeholders, ensuring high-quality deliverables and implementing efficient solutions.

The Lead will collaborate with business analysts to design solutions, mentor junior developers, and ensure compliance with industry standards in Quantexa Technology.

The BI Developer will design and implement Business Intelligence solutions using Power BI, SQL, and data analysis to support strategic initiatives and enhance data visualization.

The AML Technical BSA will lead AML projects, perform data analysis, document requirements, and coordinate tasks across teams to support compliance initiatives.

Lead data management initiatives focusing on ACTIMIZE solutions. Translate business needs into technical specs, enhance data strategies, and ensure compliance with regulations.

Lead the development of data solutions for AML initiatives, ensuring compliance, managing large datasets, and mentoring AML Data Analysts.

Lead migration from MSSQL/MicroStrategy to Databricks and Power BI, developing data models and dashboards, ensuring data quality, and collaborating with stakeholders.

Lead and implement KYC solutions using Oracle OFSAA, collaborating with teams to drive projects in Tier 1 banking environments while ensuring compliance and quality.

The Data Engineer will analyze client data, design scalable data pipelines, collaborate on feature engineering, and mentor junior engineers.

Join the Financial Crime Technology team as a QA Automation Engineer, focusing on automated testing for applications that prevent financial crimes. Collaborate with cross-functional teams, design testing scripts, and improve automation frameworks.