Top Data & Analytics Jobs

Design, develop, test, implement, and support cloud-based data solutions and pipelines. Collaborate across Agile teams on distributed systems, microservices, ML integration, streaming, NoSQL/RDBMS, and data warehousing (Redshift/Snowflake). Mentor engineers, perform unit tests and code reviews, and optimize performance.

Lead and mentor engineering teams to design, build, test, and support cloud-based data platforms and streaming solutions. Develop data pipelines using big-data and cloud technologies, ensure code quality through testing and reviews, collaborate with product and digital teams, and drive People Tech transformation across HR and corporate functions.

Lead and mentor a data engineering team to design, build, test, and deploy cloud-based, AI-enhanced risk management data solutions. Collaborate across Agile teams and product managers, implement big-data and streaming systems, perform unit tests and code reviews, and drive technology adoption and performance tuning.

Develop and validate market and counterparty credit risk models (VaR, Greeks, PFE, CVA) for Capital Markets. Collaborate with business partners to build cloud-based, ML-enabled analytical solutions, automate processes, communicate results, and own model development from concept through deployment and monitoring.

Lead Data Engineer responsible for designing, developing, testing, and supporting cloud-based data solutions. Collaborate across Agile teams, mentor engineers, build distributed and streaming data systems, and optimize performance using big data technologies and data warehouses.

Lead data strategy, architecture, and modeling for high-volume transactional network platforms. Build monitoring and anomaly-detection frameworks, optimize operational data schemas, align local assets with enterprise data strategy, communicate findings to stakeholders, and mentor technical staff.

Design, build, and maintain data solutions to support enterprise risk. Partner with business to produce dashboards and analyses, drive data quality, metadata and lineage practices, manage data access governance, and use open-source tools and cloud services to enable self-service analytics.

Perform strategic quantitative analysis and modeling to inform product, pricing, marketing, and credit risk decisions for business cards and payments. Lead hypothesis-driven problem solving, partner with IT, sales, operations and finance, support implementation and monitoring, and communicate insights to influence stakeholders.

The Manager of Ontology and Data Modeling develops and maintains ontologies, collaborates across teams, supports semantic technology integration, and manages teams focused on data modeling to achieve enterprise initiatives.

As Senior Manager of Data Analysis, you will validate analytical tools, manage validation projects, assess quality and risks, and mentor junior staff.