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Top Senior Level Fintech Data & Analytics Jobs

5 Hours AgoSaved
Remote
United States
250K-280K Annually
Senior level
250K-280K Annually
Senior level
Fintech • Analytics • Financial Services
The Agentic AI Lead will design AI-first processes, lead innovation projects, drive cultural change, and partner with leaders to transform operations at Tilt.
Top Skills: Ai ToolsAutomation PlatformsClaudeN8NOpenclawReplit
6 Hours AgoSaved
In-Office
Cedar, MN, USA
Senior level
Senior level
Fintech • Payments • Financial Services
As a Business Data Steward in Wholesale Trade, you will ensure that Trade data is well-governed and compliant while developing dashboards, analyzing data, and collaborating with various stakeholders to support digital ambitions.
Top Skills: Dashboarding ToolsData AnalyticsReporting
6 Hours AgoSaved
Remote or Hybrid
USA
180K-225K Annually
Senior level
180K-225K Annually
Senior level
Edtech • Fintech • Financial Services
The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.
Top Skills: AirflowAWSDbtLookerPythonRSQL
6 Hours AgoSaved
In-Office
New York, NY, USA
97K-138K Annually
Senior level
97K-138K Annually
Senior level
Fintech • Financial Services
The VP of Data Governance will enhance the Global Payments data management framework, establish data standards, guide governance initiatives, and improve data usability through collaboration with stakeholders.
Top Skills: AICollibraMS OfficeSolidatus
Reposted 7 Hours AgoSaved
In-Office
Baltimore, MD, USA
Senior level
Senior level
Fintech • Software • Financial Services
The Sr. Special Assets Analyst focuses on data analysis, vendor performance oversight, and quality assessment to improve loan performance and reduce defaults.
Top Skills: Business IntelligenceData AnalyticsFinancial AnalysisPortfolio Management
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Reposted 7 Hours AgoSaved
In-Office
Headquarters, AZ, USA
Senior level
Senior level
Fintech • Software • Financial Services
Lead sales analytics and support functions to drive revenue and productivity via forecasting, pipeline management, CRM governance, commission administration, executive reporting, and team leadership. Partner across Sales, IT, Finance and Advanced Analytics to build models, automate reporting, and inform strategy.
Top Skills: ExcelMarsMicrosoft ProjectPower PivotPower QueryPowerPointRelational DatabasesSalesforceSQLWord
Reposted 7 Hours AgoSaved
In-Office
New York, NY, USA
165K-275K Annually
Senior level
165K-275K Annually
Senior level
Fintech
The role involves developing risk analytics frameworks, collaborating with investment teams, and providing risk insights across various credit portfolios.
Top Skills: AladdinBi ToolsBloombergFactsetIntexPolypathsPythonSigmaSQL
Reposted 7 Hours AgoSaved
In-Office
Miami Lakes, FL, USA
Senior level
Senior level
Fintech
Lead and manage a data engineering team to design, build, and optimize scalable ETL/ELT pipelines, migrate legacy systems to cloud-native platforms, enforce data quality and security, define SLAs, and support analytics and operational data needs within a regulated banking environment.
Top Skills: AthenaAws Ec2Aws IamAws S3DatabricksEmrGlueInformaticaOraclePythonRedshiftSnowflakeSQLSsisTalendTerraform
Reposted 7 Hours AgoSaved
Remote
United States
116K-145K Annually
Senior level
116K-145K Annually
Senior level
Fintech • Financial Services
Lead end-to-end credit risk analytics to inform underwriting, pricing, and product strategy. Build forecasting, unit-economics, and loss‑forecast models; design and analyze live tests; develop and implement credit policy; partner with cross-functional teams and external partners; apply AI-assisted analytics; and automate credit decisioning to balance growth with portfolio health.
Top Skills: ExcelPysparkPythonRSASSQLTableau
Reposted 7 Hours AgoSaved
In-Office
Boston, MA, USA
113K-157K Annually
Senior level
113K-157K Annually
Senior level
Fintech • Financial Services
As a Quantitative Product Specialist, you'll engage clients with QIS tools, enhance product adoption, contribute to marketing strategies, and provide data-driven insights to improve investment decisions.
Top Skills: ExcelPythonR
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