Varo Bank
San Francisco
501-1,000 employees
Varo is an entirely new kind of bank. All digital, mission driven, FDIC insured and designed for the way our customers live their lives.
Prior Listings
- Sr. Data Analyst
- Lead Fraud Data Analyst
- Sr. Software Engineer, Machine Learning
- Lead Machine Learning Scientist, Lending
- Staff Data Engineer
- Senior Data Scientist, Machine Learning
- Sr. Data Engineer
- Lead Machine Learning Scientist, Fraud
- Sr. Data Engineer
- Principal Engineer, Data Engineering
- Director of Data Science
- Sr. Data Scientist, Machine Learning (Fraud)
- Sr. Risk Data Analyst
- Lead Data Scientist, Acquisition
- Sr. Machine Learning Engineer
- Sr. Analyst, Data Science - Model Risk Management
- Sr. Data Analyst, Commercial Analytics
- Sr. Software Engineer, Data (Backend)
- Sr. Data Analyst, Payments
- Sr. Product Manager, Data
Sr. Risk Data Analyst
Sr. Risk Data Analyst
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
- Apply your deep understanding of statistical modeling, and machine learning to solve complex risk challenges
- Demonstrate excitement and passion for leveraging data to drive impactful risk management strategies
- 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
- Proven experience in statistical modeling and machine learning applications
- Strong understanding and practical experience with statistical concepts and building predictive models
- Demonstrated experience in applying data science methodologies to real-world problems
- Experience within the banking industry is a plus
- 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
- 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
- Bachelor's degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, a similar quantitative field, or equivalent practical experience preferred
$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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