As a Sr. Risk Data Analyst, you will be a vital part of our 2nd line risk team, and be the go-to expert for transforming raw data into actionable intelligence. You won’t be just crunching numbers. You’ll be a risk detective, a strategic advisor, and a creative force, transforming raw data into actionable intelligence that safeguards our bank.

What you’ll be doing

• Dive into vast datasets, utilizing your SQL, Python, and Tableau mastery to extract meaningful insights across all areas of risk, from credit and operational to compliance and beyond
• Craft compelling visualizations and presentations that communicate complex risk findings to both technical and non-technical audiences, influencing key decision-making
• Identify emerging risks and trends before they become headlines
• Develop early warning indicators and predictive models to mitigate potential threats proactively
• Collaborate with risk managers and business partners to continuously enhance our risk reporting, analysis, and monitoring frameworks
• Dive into diverse projects, learn new tools and techniques, and continuously expand your risk management expertise

You’ll bring the following required skills and experiences

• Must have experience in SQL, Python, and Tableau
• Experience working with Git is a plus
• Ability to effectively communicate complex ideas to both technical and non-technical audiences through presentations and data visualizations
• Understanding of statistical concepts and experience building predictive models, preferred
• Highly motivated and thrive in a fast-paced, dynamic environment
• Take initiative, ask questions, and eager to learn
• Embrace challenges as opportunities for growth
• Passionate about working with others to achieve common goals

$105,000 – $135,000 a year

For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $105,000 – $135,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.

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