Senior Level Risk Data Analyst Jobs
Senior level risk data analyst jobs put experienced analysts in charge of risk modeling frameworks, data infrastructure decisions, and the cross-functional teams and projects that translate complex data into enterprise-wide strategy. Roles are concentrated in Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, hybrid, and remote positions available, and employers like Lyft, Mizuho, and Block hiring at this level now.
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Overview:
Leads the development of data-driven insights through advanced analytics, process automation, and data visualization. Oversees the design and delivery of dashboards, reports, and analytical solutions that support informed business and risk management decisions. Validates and promotes adherence to data quality, metric governance, and visualization standards to ensure the accuracy, reliability, and effectiveness of KRIs, KPIs, and other business metrics while driving continuous improvement
Position Responsibilities:
Develop and implement best practices for analytics, metric validation, reporting, data visualization, and process automation.
Identify and implement best practices to navigate and publish Business Intelligence (BI) dashboards/reports; analyze and report on adoption and usage trends.
Manage and participate in the creation of access to ad-hoc analysis and self-service BI tools; train organization on tool usage and maintain tool access.
Use knowledge of programming languages to query, structure, transform, and model data for use in dashboards, reports, analytics, validation and automation solutions
Apply expert knowledge of data management concepts, metadata, and data modeling practices to ensure the accuracy, consistency, and reliability of data used in reporting and analytics.
Manage and drive business insights through the development of descriptive, diagnostic, and predictive reporting through the selection of appropriate advanced visuals to identify trends and outliers.
Use expert knowledge of visual perception principles to develop, maintain, and enhance templates, standards, and themes aligned to audience needs and organizational standards.
Support and champion continuous improvement in visualization through the review and enhancement of dashboards and reports.
Manage modification of dashboards/reports to ensure dynamic data and actionable items are presented in an understandable manner that meet the business needs.
Partner with data stakeholders to gather visualization requirements and deliver actionable insights.
Leverage AI-driven analytics and automation tools, including Microsoft Copilot, Power BI Copilot, Power Automate, and Python, to automate reporting processes, enhance data validation activities, improve data quality, and increase operational efficiency.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis.
Identify risk-related issues needing escalation to management.
Promote an environment that supports belonging and reflects the M&T Bank brand.Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Complete other related duties as assigned.
Minimum Qualifications Required:
Bachelor’s degree and a minimum of 7 years of related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/ or work experience, including a minimum of 7 years related experience
Minimum of 1 year managerial, supervisory and/or work leadership experience
Tactical experience with a minimum of one data visualization tool
Experience designing and developing advanced dashboards/reports and data visualizations
Expert knowledge of data visualization approaches
Experience incorporating data storytelling into visualizations
Experience using Structured Query Language (SQL) to analyze, extract, and transform data
Ideal Qualifications Preferred:
Tactical experience with multiple data visualization tools
Experience driving business value through data visualizations
Knowledge of data management concepts and terminology
Advanced experience with data quality assurance, metric/KRI validation, model validation, data lineage analysis, and control effectiveness testing.
Experience leveraging emerging AI technologies and automation tools to improve reporting processes, data validation activities, and operational efficiency.
Location
Wilmington, Delaware, United States of AmericaOverview:
Leads the development of data-driven insights through advanced analytics, process automation, and data visualization. Oversees the design and delivery of dashboards, reports, and analytical solutions that support informed business and risk management decisions. Validates and promotes adherence to data quality, metric governance, and visualization standards to ensure the accuracy, reliability, and effectiveness of KRIs, KPIs, and other business metrics while driving continuous improvement
Position Responsibilities:
Develop and implement best practices for analytics, metric validation, reporting, data visualization, and process automation.
Identify and implement best practices to navigate and publish Business Intelligence (BI) dashboards/reports; analyze and report on adoption and usage trends.
Manage and participate in the creation of access to ad-hoc analysis and self-service BI tools; train organization on tool usage and maintain tool access.
Use knowledge of programming languages to query, structure, transform, and model data for use in dashboards, reports, analytics, validation and automation solutions
Apply expert knowledge of data management concepts, metadata, and data modeling practices to ensure the accuracy, consistency, and reliability of data used in reporting and analytics.
Manage and drive business insights through the development of descriptive, diagnostic, and predictive reporting through the selection of appropriate advanced visuals to identify trends and outliers.
Use expert knowledge of visual perception principles to develop, maintain, and enhance templates, standards, and themes aligned to audience needs and organizational standards.
Support and champion continuous improvement in visualization through the review and enhancement of dashboards and reports.
Manage modification of dashboards/reports to ensure dynamic data and actionable items are presented in an understandable manner that meet the business needs.
Partner with data stakeholders to gather visualization requirements and deliver actionable insights.
Leverage AI-driven analytics and automation tools, including Microsoft Copilot, Power BI Copilot, Power Automate, and Python, to automate reporting processes, enhance data validation activities, improve data quality, and increase operational efficiency.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis.
Identify risk-related issues needing escalation to management.
Promote an environment that supports belonging and reflects the M&T Bank brand.Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Complete other related duties as assigned.
Minimum Qualifications Required:
Bachelor’s degree and a minimum of 7 years of related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/ or work experience, including a minimum of 7 years related experience
Minimum of 1 year managerial, supervisory and/or work leadership experience
Tactical experience with a minimum of one data visualization tool
Experience designing and developing advanced dashboards/reports and data visualizations
Expert knowledge of data visualization approaches
Experience incorporating data storytelling into visualizations
Experience using Structured Query Language (SQL) to analyze, extract, and transform data
Ideal Qualifications Preferred:
Tactical experience with multiple data visualization tools
Experience driving business value through data visualizations
Knowledge of data management concepts and terminology
Advanced experience with data quality assurance, metric/KRI validation, model validation, data lineage analysis, and control effectiveness testing.
Experience leveraging emerging AI technologies and automation tools to improve reporting processes, data validation activities, and operational efficiency.
Location
Wilmington, Delaware, United States of AmericaSee All 9 Senior Level Risk Data Analyst Jobs
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Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Insurance
- Human Resources
Senior Level Risk Data Analyst Jobs: Frequently Asked Questions
How do I get a senior level risk data analyst job?
Employers hiring at the senior level look for candidates who have moved beyond executing analysis to designing the systems and standards others rely on. Demonstrating ownership of end-to-end risk models, experience presenting findings to executives or regulators, and a history of mentoring junior analysts gives candidates a clear edge. Technical depth in tools like Python, SQL, and machine learning frameworks, combined with domain expertise in credit, market, or operational risk, separates senior candidates from mid-level ones.
Which companies hire senior level risk data analysts?
Companies hiring senior level risk data analysts right now include Lyft, Mizuho, and Block, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to concentrate in large financial institutions, insurance carriers, consulting firms, and technology companies with complex risk or compliance functions.
Are there remote senior level risk data analyst jobs?
Yes, though availability varies by employer and industry. About 88% of senior level risk data analyst openings are remote or hybrid as of September 2026, reflecting continued flexibility in data-heavy roles where outputs can be delivered independently. Regulated industries like banking and insurance sometimes require on-site presence for compliance or audit reasons, so checking each listing's location requirements directly is worth doing.
What makes a risk data analyst role senior level?
Senior level risk data analyst roles are defined by scope, ownership, and influence rather than just technical skill. At this stage, analysts are expected to architect risk models, set data quality standards, and own outcomes across entire business lines or risk categories. They lead projects independently, present recommendations to senior leadership, and mentor or manage more junior team members, making both technical depth and communication ability central to the role.
Which industries hire the most senior level risk data analysts?
Senior level risk data analyst roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they carry significant regulatory obligations, large volumes of complex data, and material financial or operational risk that requires experienced analysts to model, monitor, and report on continuously.