Top Data & Analytics Jobs

Design, build, and maintain optimized, highly available data pipelines and the BMG Data Warehouse. Lead medium-to-complex data integration, data modeling, code reviews, QA, and cloud migration efforts. Collaborate with business partners to translate requirements into solutions, resolve technical issues, and support analytics and reporting needs while adhering to policies and compliance.

Supports marketing operational reporting through data management, analytics, business intelligence, and AI-enabled automation. Analyzes complex business and technical challenges, extracts and validates data, develops dashboards and reports, delivers data-driven insights, and identifies engineering improvements. Collaborates with stakeholders and technology teams, leads cross-group projects, mentors junior staff, and supports compliance and risk management requirements.

Perform complex quantitative modeling and validation for liquidity, market, credit, and operational risks. Forecast losses and capital requirements, validate liquidity and stress testing models, assess assumptions and data, ensure regulatory compliance (LCR/NSFR/RLAP), document findings, and present recommendations to senior management, auditors, and regulators.

Lead quantitative model maintenance, optimization, validation, testing, documentation, and reporting initiatives. Analyze large datasets, model outputs, and migration results to ensure accuracy and completeness. Develop automated testing frameworks and scripts for data migration and model reengineering, using Python-based tools and SQL. Partner with finance and credit modeling teams, assess risks and controls, resolve complex issues, and collaborate with global stakeholders to deliver compliant, reliable solutions.

Design, develop, deploy, document, and monitor financial models using statistical and machine learning techniques. Build scalable finance data pipelines, interactive dashboards, and visualization tools. Assess data sources, conduct literature reviews, communicate results to business leaders, and ensure compliance with model risk management requirements. Collaborate with data science, technology, and production teams to operationalize models and review external or vendor-developed solutions.

Drives data and analytics initiatives for GPL and Wholesale Digital & Innovation. Responsibilities include analyzing complex business and operational challenges, sourcing and curating data, validating data integrity, developing actionable insights, supporting customer communications, and partnering with business and technology leaders. The role also identifies engineering enhancements and applies compliance and risk management requirements to analytics activities.

Leads analytics, reporting, data integration, and research initiatives supporting business, risk, and operational decisions. Advises stakeholders using complex data analysis, manages reporting performance and data quality, ensures regulatory and data governance compliance, and translates requirements into technical solutions. Leads report migrations from SSIS and SAS/SQL to Hadoop/Hive, maintains legacy integrations, manages projects, mentors staff, and delivers actionable insights in a regulated consumer lending environment.

Leads a marketing analytics team, oversees campaign performance analysis, and delivers actionable insights for optimization. Partners with stakeholders and senior leaders, directs statistical modeling and experimentation, manages complex datasets, and guides in-flight and post-campaign reporting. The role also allocates resources, improves analytical systems and processes, mentors talent, and supports data-driven marketing strategy and customer growth.

Leads a marketing analytics team that evaluates campaign performance, develops statistical models and experiments, delivers in-flight and post-campaign insights, and advises stakeholders on optimization strategies. Manages analytics initiatives, resources, data-driven research, and talent development while identifying improvements to data systems and business processes. The role requires translating complex findings into actionable recommendations and overseeing analysis of large structured and unstructured datasets.

Leads complex risk analytics initiatives involving business analysis, statistical and financial modeling, data aggregation, stress testing, portfolio analysis, monitoring, and reporting. Reviews programming models, manipulates databases, supports pilot program rollout, and guides product strategy and risk exposure decisions. Collaborates across teams to resolve production, project, regulatory, and compliance issues while leading projects, mentoring colleagues, and delivering analytics initiatives.