Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

Square is part of Block, Inc. (NYSE: SQ), a global technology company with a focus on financial services.

As a Senior Credit Policy Data Analyst, you will develop, execute, and monitor credit policies and procedures that minimize credit risk while ensuring a smooth customer experience. You will analyze credit data to identify trends and risks, make recommendations for credit policy changes, and collaborate with cross-functional teams to develop and implement new credit products, services, and processes. You will report to the Head of Global Credit Policy and Portfolio Management for Square Banking

You Will:

• Develop, execute, and monitor credit policies and procedures that mitigate credit risk while ensuring alignment with business objectives and regulatory requirements
• Monitor credit performance metrics to assess the effectiveness of credit policies and procedures. Identify areas for improvement and develop action plans to address them
• Analyze market trends and customer data to identify opportunities to improve the customer experience and increase product adoption
• Work with the Product Management team to identify and prioritize new lending product opportunities based on market research, customer feedback, and competitive analysis
• Collaborate with cross-functional teams, including data science teams, finance, capital market, legal and compliance, and engineers, to develop and implement new credit policy, services and procedures.
• Prepare reports and presentations for business review and Square risk councils

You Have:

• A master's degree in mathematics, economics, operations research, management science, finance, or a related quantitative field is required.
• 3+ years of relevant experience in credit analysis, credit risk management, or a related field is required. Experience developing credit policies, evaluating credit risk, and implementing credit risk mitigation strategies
• Experience with credit analysis principles, including credit risk assessment, credit scoring models, credit policy formulation and implementation
• Proficiency in quantitative and qualitative data analysis, ability to evaluate credit risk using various credit scoring models, and make sound credit decisions. Ability to identify patterns, trends, and anomalies in data
• Familiar with small business lending products like Credit Card, Term Loan, and Line of Credit
• Experience communicating (written and verbal) credit policies, procedures, and findings to stakeholders
• Strong critical thinking and problem-solving skills to assess complex credit risk situations, identify potential issues, and develop effective solutions
• Ability to work collaboratively with cross-functional teams. Demonstrated ability to work independently and meet deadlines in a fast-paced environment
• Proficiency in data analysis and modeling tools, such as SQL, Python, Snowflake, or Databricks

If you are a results-oriented individual with a passion for credit risk management, we encourage you to apply for this exciting opportunity to join our team.