Risk Analysis Specialist III

About the Role

This role is responsible for performing analytical requests, reporting and analysis, and assisting with modeling activities to help manage risk and minimize credit and operating losses. The Risk Analysis Specialist III transforms complex data into actionable insights, supporting risk management, strategic decision-making, and executive reporting. This position 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.

Responsibilities

• Develops and executes reporting to allow risk and business partners to effectively identify and manage risk.
• Identifies trends and manages data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies.
• Participates in various product strategic initiatives affecting multiple risk functions and lines of business.
• Facilitates the development of database production processes and performance reports for senior management.
• Responds to complex ad-hoc requests for information from both internal and external parties.
• Coordinates cross-functional efforts to remediate data quality issues.
• Manages the outputs of controls and investigates alerts from control checks.
• Leverages advanced analytical techniques to identify trends, risks, and opportunities.
• Develops intuitive dashboards, visualizations, and reporting solutions for strategic decision-making.
• Designs and maintains scalable data, reporting, and analytical solutions.
• Collaborates with business partners and senior leaders to align analytical solutions with organizational objectives.
• Drives process improvements and operational effectiveness.
• Leverages AI tools and emerging technologies to enhance analytical efficiency and innovation.

Requirements

• Bachelor’s degree or higher in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Finance, Economics, Accounting, or Business Administration).
• 5+ years of relevant work experience.

Qualifications

• Strategic thinking and intellectual curiosity to solve complex business challenges.
• Executive influence and communication skills to convey complex analytical concepts.
• Ownership and accountability in delivering high-quality work and meeting deadlines.
• Process improvement and controls expertise to enhance operational efficiency.
• Proficiency in leveraging AI tools and emerging technologies responsibly.
• Advanced data analytics and visualization skills using tools like Tableau.
• Expertise in data management, SQL development, and data transformation.
• Deep knowledge of data architecture, data modeling, and machine learning.
• Technical development and automation skills in SQL, Excel, and large-scale datasets.
• Ability to translate complex datasets into clear, visually compelling narratives.

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