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.
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.
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 beyondApply your deep understanding of statistical modeling, and machine learning to solve complex risk challengesDemonstrate excitement and passion for leveraging data to drive impactful risk management strategiesCraft compelling visualizations and presentations that communicate complex risk findings to both technical and non-technical audiences, influencing key decision-makingIdentify emerging risks and trends before they become headlinesDevelop early warning indicators and predictive models to mitigate potential threats proactivelyCollaborate with risk managers and business partners to continuously enhance our risk reporting, analysis, and monitoring frameworksDive 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 TableauProven experience in statistical modeling and machine learning applicationsStrong understanding and practical experience with statistical concepts and building predictive modelsDemonstrated experience in applying data science methodologies to real-world problemsExperience within the banking industry is a plusExperience working with Git is a plusAbility to effectively communicate complex ideas to both technical and non-technical audiences through presentations and data visualizationsHighly motivated and thrive in a fast-paced, dynamic environmentTake initiative, ask questions, and eager to learnEmbrace challenges as opportunities for growth Passionate about working with others to achieve common goalsBachelor's degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, a similar quantitative field, or equivalent practical experience preferred #MidSenior
