Top Data & Analytics Jobs

Lead the architecture and development of scalable data platforms and distributed processing systems. Establish enterprise data governance, quality, privacy, compliance, schema management, and lifecycle standards. Drive resilient, automated, and observable data pipeline strategies; evaluate technologies; review complex architectures; collaborate with business and technology stakeholders; and mentor data engineers in stream processing, data modeling, and MLOps.

Analyze domestic card portfolio performance, identify credit risk trends, build and monitor loss forecasting and statistical models, and generate insights for senior leaders and financial reporting. The role supports lending product and pricing strategies, targeted marketing insights, credit performance improvements, hypothesis testing, and implementation planning. It requires cross-functional collaboration with IT, Sales, Operations, and Finance, along with strong quantitative, communication, decision-making, and leadership skills.

Lead product analytics for the Retail Bank: define measurement frameworks, set OKRs, guide product teams with data-driven insights, prioritize roadmaps, manage delivery, grow and mentor product analysts, and partner across Product, Engineering, Data, Finance and Research to influence product direction and investment decisions.

Develop and enhance capital markets models, including deposit, derivatives, and fixed-income models. Build quantitative and machine learning solutions using large datasets and cloud technologies to improve business performance. Own model development from conceptualization through validation, deployment, training, documentation, and monitoring. Provide technical guidance, communicate statistical findings to diverse audiences, and collaborate with finance, business, and cross-disciplinary teams.

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.

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.

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.

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

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.

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.