Top Data & Analytics Jobs

Lead delivery and lifecycle of analytics reporting solutions: gather requirements, develop, QA, deploy, and maintain reports. Optimize data sourcing and ETL, integrate analytics with dashboards, support UAT and business signoff, partner with transformation teams on strategic data initiatives, mentor teams, and deliver accurate automated reporting for business decision-making.

Supports quantitative model maintenance, optimization, validation, testing, documentation, and reporting. Analyzes datasets and model outputs, develops Python-based automated testing frameworks, performs data migration testing, and applies GenAI, machine learning, and automation to improve workflows and data quality. Partners with finance and credit modeling teams, assesses risks and controls, presents recommendations, and collaborates with global stakeholders.

Perform deposit pricing and portfolio analytics using large financial datasets. Analyze customer behavior, balance migration, product performance, pricing effectiveness, growth, mix, margins, and profitability. Develop recurring analyses, scenario models, and impact assessments; ensure data quality and governance; and present actionable insights to senior leadership. Collaborate with pricing, product, strategy, and analytics teams to support portfolio optimization and strategic rate decisions.

Analyzes deposit pricing, portfolio performance, customer behavior, balance migration, product outcomes, and profitability. Develops recurring, ad hoc, scenario, and business-impact analyses using large datasets. Partners with pricing, product, strategy, and analytics teams, creates leadership-ready visualizations and recommendations, and ensures data quality, documentation, governance, and analytical rigor.

Leads enterprise governance for permissible data use across business lines, analytics, and AI. Designs policies, controls, approval workflows, exception processes, monitoring, evidence management, and audit-ready documentation. Partners with legal, compliance, privacy, technology, risk, and AI governance stakeholders to manage data-use risks, prioritize governance tooling, develop reporting and enablement materials, and drive scalable operating models.

Leads development, implementation, documentation, and governance of statistical, predictive, and machine learning models for auto finance. Develops solutions for risk assessment, loss forecasting, pricing optimization, and portfolio performance. Advises senior leaders, partners with risk and governance teams, supports validation and regulatory compliance, and communicates analytical recommendations to stakeholders.

Drive deposit pricing and portfolio analytics by analyzing large customer and account datasets, evaluating pricing and product strategies, developing scenario and impact analyses, and monitoring portfolio performance. Create recurring and ad hoc reports, visualizations, and leadership presentations while ensuring data quality, governance, and analytical rigor. Collaborate with pricing, product, strategy, and analytics teams to translate findings into business recommendations.

Leads enterprise governance for permissible data use across business lines, analytics, and AI initiatives. Designs policies, controls, approval workflows, exception processes, monitoring, evidence management, and audit-ready documentation. Partners with legal, compliance, privacy, technology, information security, model risk, and third-party risk stakeholders. Defines tooling requirements, develops reporting and metrics, enables data domains through playbooks and training, and drives remediation of governance risks.

Performs deposit pricing, portfolio, customer behavior, and profitability analytics for consumer and small business banking. Analyzes large datasets, develops scenario and impact assessments, tracks portfolio performance, and creates recurring and ad hoc reporting. Partners with pricing, product, strategy, and analytics teams to deliver visualizations, recommendations, and leadership presentations while ensuring data quality, governance, and analytical rigor.

Leads complex statistical, predictive, and machine learning model development for auto finance, including collections, pricing, credit risk, fraud, loss forecasting, and portfolio optimization. Provides quantitative guidance to senior leaders, partners with risk and governance teams, supports model validation and regulatory compliance, and presents analytical recommendations to stakeholders.