Top Analytics Jobs

Support Card Pricing Execution by reviewing and dispositioning control-monitoring exceptions, building automated analytical workflows, and becoming SME for pricing processes. Collaborate with stakeholders to improve processes, implement rule-based automation, anomaly detection, and AI-assisted solutions to optimize pricing controls and decision-support.

Support home lending risk strategy by performing data-driven analyses, identifying trends, monitoring emerging housing and regulatory risks, and delivering clear recommendations and visualizations. Partner with Risk Policy, Product Strategy, and cross-functional teams to design risk segmentation, controls, and performance monitoring to align growth with the firms risk appetite.

As an Analyst, you will conduct analyses for Hive's offerings, support project delivery, collaborate with teams, and communicate project outcomes.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

Support development and validation of deposit forecasting and pricing models by extracting and analyzing data, translating business requirements into technical solutions, collaborating with engineering and modeling teams, performing UAT and sensitivity analyses, and delivering actionable insights to drive finance and treasury decisions.

Develop, implement, calibrate, and validate statistical and machine learning models for risk management. Use Python, R, SAS, C++, SQL, MATLAB, Hadoop/NoSQL, and Unix/Linux. Provide analytical support and insights, document and present model development and validation results, recommend process improvements, and collaborate with peers, managers, and regulators to reduce model risk and meet regulatory standards.

10-week summer internship for Masters candidates to build and validate quantitative models for capital markets, applying statistical, simulation, and machine learning techniques, contributing to model performance monitoring, pricing, and risk analytics with mentorship and potential full-time conversion.

Lead analytics strategy and decision support across Product, Growth, Revenue, Operations, and Finance. Perform deep-dive analyses, design experiments, build predictive models and ML/AI prototypes, create trusted reporting and dashboards, ensure data quality, automate workflows, and partner with stakeholders to drive measurable business outcomes. Act as a primary analytics partner, prioritize work, communicate recommendations, and mentor analysts informally.

Lead quantitative analyses to design, implement, and evaluate Medicare and Medicaid payment models. Query large claims/enrollment datasets, build payment calculations, financial and quality metrics, and apply ML/econometric/predictive models. Mentor staff, write reproducible code and documentation, develop client relationships, perform rapid ad-hoc analyses, and help integrate AI into technical workflows.

Build and maintain an enterprise fraud repository, validate and audit fraud datasets, analyze large structured datasets to identify fraud and credit risk trends, produce analytics and reports, use SAS/SQL for extraction and predictive modeling, develop risk controls and KPIs/KRIs, and support risk-based decisioning across consumer lending products.

Build, validate, and document statistical and derivative pricing models and automated trading strategies. Conduct advanced time-series analysis, risk and liquidity modeling (VaR, ES), handle large datasets, perform model validations, and collaborate with trading floor and stakeholders to improve processes.

Analyze large, complex datasets to detect and mitigate payment fraud. Develop and implement fraud strategies, metrics, detection tools, and present findings to senior stakeholders.

Perform quantitative analyses to design, implement, and evaluate Medicare and Medicaid payment models. Query large claims and enrollment datasets, build predictive and statistical models, calculate payment and quality metrics, document methods, and produce client-facing reports and visualizations.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

Manage execution, testing, validation, and monitoring of pricing changes in Auto financing systems (CPE and LAZER). Act as liaison between Technology, Pricing, and Finance teams, develop requirements and test plans, run simulations, document results, support system upgrades/disaster recovery, and perform ad hoc portfolio performance and exception analysis.

Lead strategic revenue cycle analyses to diagnose patient billing and collections performance, quantify ROI and value, build executive-ready recommendations and playbooks, partner cross-functionally, and mentor teammates to drive scalable, data-driven improvements.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

Graduate students will engage in experiential learning, supporting assigned areas, gaining practical experience, and developing insights for a project team.

The Data Scientist will improve performance through innovative analytics solutions, collaborate with stakeholders to solve business problems, and design models to derive insights.

Paid 10-12 week summer internship supporting Boeing Analytics teams. Interns work on data analytics, data science, ML/AI, or software projects with mentor guidance, facility tours, networking, and potential relocation for eligible candidates.

Design and deliver analytics projects to identify and quantify emerging credit risks in the card portfolio. Leverage SQL, AI/LLM tools and other data sources to generate insights, evaluate new data, recommend mitigations, and present findings to senior leadership and regulators.

The Senior Consultant is responsible for data analysis, reporting, and visualization while collaborating across teams to ensure data integrity, accuracy, and actionable insights.