Top Analytics Jobs

The role involves leading the development of house price forecasting models using quantitative analytics, ensuring regulatory compliance, and adopting best practices in model development.

The role involves collaborating with business users on analytics, processing data, and applying statistical methods to analyze large datasets and present insights.

The Analyst will enhance the loan pricing module, integrating new analytics with production, and improve client documentation while collaborating with various stakeholders.

The Risk Analytics Associate will analyze client data, deploy AI models for synthetic data generation, and communicate insights to stakeholders, adhering to data privacy standards.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Apply advanced analytics to optimize P&C underwriting strategies: analyze complex datasets, perform EDA and modeling, integrate disparate data, create visualizations and presentations, document methodology, and influence mid-to-upper management to drive risk and profitability decisions.

The Fraud Analytics SME analyzes fraud detection patterns, guides teams in detecting fraud schemes, validates analytical outputs, and supports operational reviews and discussions.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

The Analyst will support financial modeling, data analytics, strategic planning, and executive communication in payor negotiations. Responsibilities include building financial models, conducting data analyses, and presenting strategy insights to executives.

The Data Analyst will leverage analytics tools to deliver insights and solutions, collaborate with teams, and enhance processes within the Channel Partners Group.

Analyze mobile application data using Adobe Mobile Analytics, including iOS, Android, and hybrid app analytics. Utilize Sitecatalyst and Omniture for insights.

Data Scientists at BlueLabs build predictive models, collaborate on analytics products, and tackle complex data challenges while ensuring high data quality.

As a Data Analyst I, you will analyze data, design analytics products, support model building, and collaborate with teams to improve program efficiency.

The Quantitative Analytics Tech Lead will develop mortgage prepayment, default models, conduct portfolio analysis, and provide analytics support for trading activities.

Manage people analytics, conducting data analysis to inform HR strategies, offer recommendations for improvement, and create reporting dashboards. Collaborate with HR and business leaders to align people data with business needs.

The role involves developing quantitative models and strategies to enhance trading decisions, manage risk, and provide analytical support within investment banking, focusing on equity products.

The Quantitative Research Analyst develops client analytics models, collaborates with technology teams, conducts portfolio studies, and mentors junior staff.

The Product Data Scientist will analyze user behavior, define product metrics, design experiments, and build dashboards to support data-driven product decisions.

The Director of Quantitative Analysis will develop and oversee models for risk management and optimal capital allocation, supervise analytical services, and manage a quantitative team while conducting research and analyses for business growth.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

The Director of Fraud Analytics Consulting will lead a team to develop custom fraud detection models, mentor data scientists, and collaborate with clients to identify emerging fraud trends and enhance analytics capabilities.