Top Hybrid Data & Analytics Jobs

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

As a Senior Data Engineer at Nimble, you will own the data platform, build and optimize data pipelines, ensure data compliance, and mentor team members, while collaborating across departments to enhance data accessibility and usage.

Build and maintain SQL queries and automated data workflows to support CARF and 1099-DA regulatory reporting. Validate, reconcile, and document reporting data; partner with cross-functional teams; track work in Jira; identify automation opportunities; support testing, audits, and jurisdictional implementations.

Build analytics infrastructure, pipelines, and dashboards to surface metrics from the matching pipeline. Design and implement new metrics and offline analysis tooling to assess product performance and improve algorithm quality, collaborating with engineering and business teams.

Lead a quantitative modeling team to develop and govern credit underwriting, pricing, collections, and portfolio risk models. Collaborate with stakeholders on acquisition pricing, marketing optimization, M&A risk assessment, and model validation. Oversee model performance, governance, and implementation to support lending strategies and maximize profitability while minimizing credit losses.

Lead and grow a Data Engineering team to build a scalable analytics platform. Set technical direction for dbt and Snowflake, raise analytics engineering standards, enable domain experts to contribute high-quality models, introduce AI-assisted workflows, and partner cross-functionally to ensure reliable, understandable enterprise data.

The Anti Money Laundering Analyst monitors customer activity, completes reports, collaborates with teams, and ensures compliance with regulations.

Design, develop, and optimize T-SQL queries, stored procedures, indexes, and database schemas. Tune SQL Server performance, analyze execution plans, and troubleshoot complex T-SQL issues. Build and optimize Power BI datasets and DAX for reporting. Create ER diagrams and support cross-organizational data integrations while collaborating with stakeholders.

Lead and scale the modern data engineering foundation: set architecture standards, assess and refactor data infrastructure, build ELT/streaming pipelines, enforce data modeling and RFC processes, own observability and CI/CD, and manage/prioritize the data science team while communicating progress and risks to leadership.

Serve as a business analyst supporting FBI engagements: perform research, data and financial modeling, process analysis, reporting, and documentation. Coordinate with federal, state, and local partners, maintain deliverables, and produce presentations while meeting scope, budget, and client requirements.