Top Data & Analytics Jobs

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.

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.

The Manager, Data Analysis will lead a team of analysts, leveraging analytical skills and models to drive data strategy and improve customer experiences. Responsibilities include mining complex data, enhancing operational efficiencies, and mentoring junior team members while collaborating across business units.