Finance Co-op

As a Finance Co-op at Snyk, your primary responsibilities will revolve around supporting financial analysis and reporting. This includes preparing revenue recognition data, conducting sales contract analyses, and assisting with budgeting and planning cycles. You’ll also perform credit analysis and engage in special projects that contribute to Snyk’s financial decision-making and overall growth.

To qualify for the Finance Co-op position at Snyk, you should be pursuing a Bachelor's degree in Finance, Accounting, or Economics, showcasing advanced skills in Microsoft Excel and/or Google Sheets. An understanding of financial analysis concepts, along with effective communication skills, will greatly benefit your application.

The Finance Co-op role at Snyk is designed to provide hands-on experience in financial analysis, fostering professional development through cross-functional collaboration. You'll interact with different teams, which enriches your understanding of how finance impacts various aspects of the business while building your network in a global context.

At Snyk, the Finance Co-op position typically offers a schedule of 3-4 days a week in-office, allowing you to immerse yourself in the company's culture while gaining practical experience. The position runs from July to August 2025, providing a robust summer opportunity for students eager to learn.

As a Finance Co-op at Snyk, you might be involved in projects like preparing ASC 606 revenue recognition analysis, conducting credit assessments for SMB cohorts, and standardizing templates in preparation for the Annual Planning/Budget Cycle. These projects are designed to give you a practical understanding of finance in a tech-driven environment.

When answering this question, highlight your systematic approach, including data collection, analysis of trends, and attention to detail. Discuss tools you're proficient in, such as Excel, and illustrate with examples of how you've applied your understanding of financial principles in real scenarios.

To effectively respond, explain the concept of revenue recognition and its importance in financial reporting. Mention standards like ASC 606, emphasizing your awareness of how it impacts financial statements and business operations.

Here, it’s essential to provide examples of any coursework or projects where you managed budgeting processes. Discuss your familiarity with forecasting methods and how you assess financial data to make informed projections.

Share a specific instance where you were faced with complex data. Explain the tools and strategies you used for analysis, the conclusions you drew, and how that analysis influenced your team's decisions.

Use this opportunity to showcase your organizational skills. Explain your method for assessing task urgency, setting priorities, and managing your time effectively to meet deadlines without compromising the quality of your work.

Acknowledge that every role has its challenges but emphasize your willingness to embrace them. You could discuss areas like reconciliations or dealing with complex financial regulations, and outline how you aim to tackle these challenges through research and seeking mentorship.

Express your genuine interest in the tech industry and Snyk’s mission to enhance security. Highlight how the company's culture of collaboration and inclusivity aligns with your values and career goals, and how you see this role enriching your professional journey.

Discuss your commitment to continuous learning. Mention specific resources like financial news platforms, webinars, and online courses you follow to ensure you stay informed about regulatory changes and industry trends.

Emphasize the importance of clear communication, adaptability, and a collaborative spirit. Share an experience that showcases your ability to work in a team, managing both individual responsibilities and contributing to collective goals.

Provide a specific example of a project where you effectively utilized Excel features like pivot tables, VLOOKUPs, or macros for financial analysis. Clarify how these tools helped streamline your data handling and improve your analysis outcome.