Skip to content

Senior Manager, Risk Analytics

Leads the development of risk data pipelines, models, and Key Risk Indicators (KRIs) for enterprise risk monitoring and reporting. Requires 7+ years in risk analytics, expertise in SQL/Python/ETL, and experience with BI tools like Looker/Mode in financial services.

172k – 238kSan Mateo, CAColumbus, OHData AnalyticsRemote7+ YOE

About the role

How you’ll make an impact

  • Understand how data is produced and consumed at a deep level in order to design risk data pipelines and models and build curated data sets to support enterprise-wide risk monitoring and reporting
  • Own and manage the KRI program, collaborating with first-line risk owners and second-line risk domain SMEs to design, track, and report on risk metrics across all risk types and business activities
  • Build and maintain risk reporting infrastructure, including dynamic dashboards, snapshot reporting, and risk data infrastructure and aggregation capabilities using existing company data sets and tools (e.g., Looker, Jira, Mode)
  • Meet consumers of risk data where they are by wearing an educator’s hat and training them on risk dashboards and tools
  • Provide data and analytical support for enterprise risk assessments, management and board reporting, exam and audit requests, and ad hoc risk data requests
  • Partner with leaders in Risk to translate risk program requirements into scalable, repeatable data and reporting solutions
  • Support the setup, maintenance, and administration of the GRC tool for all Risk teams by defining cross-team

Minimum Qualifications

  • Bachelor's degree or equivalent practical experience
  • 7+ years of experience in risk analytics, or a related quantitative function in a banking or financial services environment
  • Strong understanding of data modeling concepts in both transactional and analytical databases
  • Demonstrated experience with risk data aggregation, KRI design and monitoring, or risk reporting infrastructure
  • Expertise in SQL, Python and ETL optimization techniques; as well as data tools such as Looker, Mode, or comparable BI/analytics platforms

Preferred Qualifications

  • Experience in a bank or OCC-regulated institution, particularly building risk monitoring programs in advance of regulatory examination
  • Familiarity with OCC or Federal Reserve expectations for enterprise risk reporting and KRI frameworks
  • Knowledge of quantitative risk measurement techniques such as scenario analysis or risk scoring methodologies
  • Experience building automated data pipelines or dashboards for regulatory or executive reporting
  • Experience implementing or managing a bank-grade GRC tool
  • Strong project management skills with a track record of independently driving programs from design to implementation

Skills

SQLPythonLookerModeETLData ModelingKriGRCData PipelinesDashboards

Similar roles

Data Analytics jobs

Senior Business Intelligence Engineer

Senior BI Engineer owns end-to-end data products, semantic layers, and dashboards that power decisions across Engineering, Product, Finance, Marketing, and Operations. Requires deep SQL and modern data stack expertise plus proven experience integrating AI tools into daily workflows.

170k – 210kNew York, NY +1Data AnalyticsHybrid5+ YOESQLdbt

Senior Heath Economist

Leads health economics research, ROI analyses, and study design using econometric methods and claims data to prove digital health platform value to payers. Mentors juniors, presents to executives, and influences product strategy. Requires PhD or Master's, 6+ years experience, expert R/SQL/Python skills.

170k – 254kSan Francisco, CAData AnalyticsHybrid6+ YOERSQL

Senior Data Analyst

Senior Data Analyst building trusted data models and semantic layers to power AI-driven insights. Partners with Product, Finance, and CS teams using advanced SQL and BI tools.

175k – 225kNew York, NYData AnalyticsRemote5+ YOERSQL

Senior Data Analyst, GTM

Experienced data analyst partnering with GTM teams (Sales, RevOps, Marketing, CS) to deliver funnel, attribution, and revenue insights. Requires strong SQL, BI tooling, and stakeholder communication skills.

175k – 225kNew York, NYData AnalyticsRemote5+ YOERSQL

Senior Analytics Engineer, GTM

Senior Analytics Engineer supporting GTM functions by building data models, dashboards, and self-service analytics in Salesforce and modern warehouses. Owns metrics, insights, and AI-enabled workflows for Sales, RevOps, and Finance.

176k – 244kSan Francisco, CAData AnalyticsHybrid5+ YOESQLdbt