• Experienced Senior Risk Analyst proficient in SQL, Python, or PySpark
• 3-5+ years of analytics experience working as a risk/data analyst in Credit or Fraud Risk or Collections
• Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office

Start your adventure with Zip

Join our Core Product team at Zip, where we focus on ensuring the success and profitability of our Pay-in-4 product. Our team ensures appropriate spending power allocation for customers while managing repayment plans effectively. We also continue to optimize the customer sign-up funnel to enhance user experience and increase conversions. Additionally, we take ownership of product profitability, constantly refining pricing strategies to align with market demands and customer needs. If you're passionate about optimizing products and driving profitability in a dynamic fintech environment, this team is the place to be.

As a Senior Risk Analyst, you'll spearhead the analytics for initiatives to enhance our Repayments and Collections strategies and optimize the associated costs through innovative solutions and A/B testing. Your role involves leveraging advanced analytics to drive actionable insights and develop go-to-market strategies. You'll monitor performance metrics, stay abreast of industry trends, and collaborate closely with stakeholders to drive strategic initiatives. With ownership over Risk governance and analytics, you'll thrive in a collaborative environment where end-to-end ownership is key.

Interesting problems you’ll get to solve

• Lead the analytics on initiatives to improve repayment rates in the short term and long term; and optimize costs.
• Develop insights capabilities to monitor performances and proactively identify trends and anomalies.
• Optimize Zip’s external debt collections strategy, monitor agency performance and work closely with the vendors.
• Enjoy end to end ownership of your analytics and get the chance to work in an exceptionally collaborative environment.
• Partner closely with key stakeholders across the organization to drive high visibility strategic initiatives.

What you’ll bring to the team

• 3-5+ years of experience in Credit or Fraud Risk or Collections, with expert SQL skills and a passion for analyzing data in the Risk domain.
• Proven analytics experience working as a risk/data analyst. Prior experience in the finance or lending industry preferred.
• You are data-driven, eager to understand the numbers and provide meaningful insights. You can influence decision makers with a proactive approach to drive results and improvements across the business.
• Advanced knowledge of SQL is a must, knowledge of Python or PySpark is preferred. Experience on data visualization tools like Tableau or PowerBI is a plus.
• You have strong written and verbal communication skills with the ability to adapt to different audiences.
• You are self-organized with the ability to operate independently and prioritize effectively.
• You enjoy working in a fast-paced environment where competing priorities and ‘test and learn’ based iterations are the norm.