Risk Analysis Specialist III

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GRA About Us Summary

Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that support decision making across the bank.

Team Overview

The Reporting & Analytics team partners with stakeholders to simplify data, reporting, and decision-making processes by delivering modern analytics, scalable reporting solutions, and actionable insights. The team transforms complex data into meaningful intelligence that enhances the user experience, strengthens risk management, and enables informed, data-driven decisions.

Role Overview

The Risk Analysis Specialist III is responsible for transforming complex data into actionable insights that support risk management, strategic decision-making, and executive reporting. This role combines advanced analytics, data visualization, stakeholder engagement, and AI-enabled solutions to identify risks, drive process improvements, and deliver scalable reporting and analytical capabilities across the organization. The role serves as a recognized subject matter expert and trusted advisor, leading complex analytical initiatives and influencing strategic decisions through deep technical expertise, thought leadership, and executive partnership. Key responsibilities include:

• Data Analytics & Risk Insights: Leverage advanced analytical techniques, statistical models, and large-scale data analysis to identify trends, risks, opportunities, and control gaps, delivering actionable insights that strengthen risk management, business performance, and decision-making.
• Reporting, Visualization & Storytelling: Transform complex data into clear, compelling, and executive-ready narratives by developing intuitive dashboards, visualizations, and reporting solutions that support strategic decision-making and regulatory objectives.
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• Data Management & Solution Development: Design, develop, and maintain scalable data, reporting, and analytical solutions through effective data management, SQL development, and data transformation practices that ensure accurate, reliable, and actionable information.
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• Stakeholder Partnership & Executive Influence: Collaborate with business partners and senior leaders to understand strategic priorities, define analytical requirements, and deliver insights, recommendations, and solutions that align with organizational objectives.
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• Continuous Improvement & Business Optimization: Drive process improvements and operational effectiveness by evaluating performance trends, assessing control environments, and recommending data-driven strategies that enhance outcomes, efficiency, and risk management practices.
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• AI & Innovation: Leverage Bank-approved AI tools and emerging technologies to improve analytical efficiency, accelerate insight generation, enhance documentation, and deliver innovative solutions while maintaining adherence to governance, risk, and compliance standards.

Required Education & Experience:

• Bachelor’s degree or higher in a relevant field, including but not limited to Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Finance, Economics, Accounting, or Business Administration.

• 5+ years of relevant work experience

Required Skills

• Strategic Thinking & Intellectual Curiosity: Applies critical thinking, intellectual curiosity, and an outside-in perspective to solve complex business challenges, connect interrelated processes, identify emerging opportunities, and continuously advance knowledge, innovation, and organizational effectiveness.

• Executive Influence & Communication: Communicates complex analytical concepts through clear, concise, and compelling written, verbal, and visual storytelling, effectively influencing stakeholders and executive leaders while exercising sound judgment and tailoring messages to audience needs and priorities.

• Ownership, Accountability & Execution: Demonstrates a strong sense of ownership and accountability by delivering high-quality work, effectively prioritizing competing demands, meeting deadlines, challenging assumptions, asking insightful questions, and driving meaningful business outcomes.

• Process Improvement & Controls: Identifies opportunities to strengthen processes, improve controls, enhance operational efficiency, and implement sustainable solutions that support risk management and business performance objectives.

• AI & Innovation: Leverages Bank-approved AI tools and emerging technologies responsibly to streamline activities, improve analytical effectiveness, enhance deliverable quality, and accelerate innovation while adhering to governance and compliance standards.

• Data Analytics & Visualization: Utilizes advanced analytical techniques, Tableau, and data visualization tools to transform complex datasets into meaningful insights, executive-ready reporting, and actionable business recommendations.

• Data Management & Engineering: Designs and manages scalable data solutions through expert SQL development, large-scale data management, data transformation, and efficient use of diverse data storage environments.

• Data Architecture & Advanced Analytics: Applies deep expertise in data architecture, data modeling, data science tools, machine learning capabilities, and analytical methodologies to support complex business and risk management solutions.

• Technical Development & Automation: Advanced proficiency in SQL, Excel and automation skills to build scalable analytical solutions, optimize queries to improve efficiency, and manage large-scale datasets efficiently.

• Insight Generation & Storytelling: Translates large and complex datasets into clear, visually compelling narratives that highlight trends, risks, opportunities, and strategic recommendations for executive audiences.

Skills:

• Business Intelligence
• Data Visualization
• Issue Management
• Project Management
• Risk Management
• Business Acumen
• Continuous Improvement
• Risk Analytics
• Stakeholder Management
• Technical Documentation
• Adaptability
• Attention to Detail
• Data and Trend Analysis
• Performance Management
• Regulatory Relations

Shift:

1st shift (United States of America)

Hours Per Week: 

40