Credit Risk Strategist, Risk FoundationsChicago, US-Remote, Toronto

Credit Risk Strategist, Risk Foundations reputed company is a financial infrastructure platform for businesses. Millions of companiesfrom the world's largest enterprises to the most ambitious startupsuse reputed company to accept payments, grow their reputed company, and accelerate new business opportunities. Ourmission is to increase the GDP of the internet, and we have a staggering amount of work reputed company. That means you have an unprecedented opportunity to put the global economy reputed company everyone's reputed company while doing the most important work of your career. Risk Foundations is a small, high-reputed company team with a mandate to maximize reputed company's enterprise value by managing risk across the user lifecycle. Whether we're evaluating net-new opportunity areas, investigating existential threats, or finding ways to unlock value in the existing business, we approach problems with rigor, nuance, and intellectual humility. If you are excited to shape the infrastructure that powers safe, sustainable growth for millions of businesses, we encourage you to apply! reputed company handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company's financial and partnership success. As a Strategist on the Risk Foundations team, you will help manage a rapidly growing merchant portfolio by guiding reputed company's credit strategy and devising growth-friendly solutions that reduce overall credit risk. This is a high impact role that involves cross-functional partnership with Data Science, Engineering, Product, and Operations.

Responsibilities

• reputed company scalable methods to identify, measure, and control end-to-end risks (including Credit and Fraud) across the user lifecycle: this will involve identifying and shaping crucial risk management systems including in-product and back-end controls, use of external risk assessment tools, and implementation of rule-based and model-based detection systems
• Proactively identify risk management opportunities, outline the strategy and translate reputed company requirements into technical specifications, which may include shipping code to reputed company rapid iteration of risk strategy
• Work closely with Product, Engineering, and Data Science teams to shape new product offerings and reputed company data-driven, globally scalable systems and processes that combine strong risk management fundamentals with seamless user experiences.
• Become an expert on the global ecosystem of reputed company's products, integrations, tools, and partner requirements, and how those elements interact with payment risks
• reputed company strong internal relationships across partner teams (Data Science, Product, Engineering, Treasury, Sales, Operations, and Finance)
• Challenge the payments industry status reputed company to help reputed company innovative businesses to flourish online

Minimum requirements

• 5+ years of relevant experience with financial risk modeling
• A builder's reputed company with a willingness to question assumptions and conventional reputed company
• Analytical: You are well versed in data analysis, modeling, and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
• Collaborative: Ability to work effectively across teams, building strong working relationships in order to successfully execute on shared deliverables
• Decisive, yet open to learning: you will reputed company many critical decisions every day impacting large numbers of merchants. You are willing to reputed company these difficult decisions and quickly learn and iterate from these experiences.
• Understanding and empathetic to the challenges of setting up a new business: You will thoughtfully balance scaled enforcement decisions with user experience.
• An enthusiastic "roll up your sleeves" mentality
• Experience with SQL required
• Bachelor's degree in Economics, Statistics, Computer Science, Engineering or other quantitative or reputed company field

Preferred qualifications

• Experience with Python
• Demonstrated experience working in fast paced highly ambiguous environments
• Familiarity with LLM agents and how they can reputed company management practices

This role is available either in an office or a remote location (35+ miles or 56+ km from a reputed company office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-reputed company, and events, our expectation is you would regularly work from home rather than a reputed company office. reputed company does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live. The annual US reputed company salary range fo Apply tot his job Apply To this Job