Credit Risk Strategy Analyst, Portfolio and Policy Management

Who we are About reputed company reputed company is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use reputed company to accept payments, grow their reputed company, and accelerate new business opportunities. Our mission 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. About the team The Portfolio and Policy Management team is responsible for setting the reputed company payments credit risk policy and monitoring performance across our global accounts with a specific focus on reputed company American Users. We are responsible for identifying key trends in portfolio performance, managing risk for our largest users while ensuring the best user experience on the platform. The team is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of reputed company. We partner closely with reputed company's engineering, data science, product, and servicing teams to reputed company existing platforms, integrate industry best practices, and reputed company novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of reputed company, we encourage you to apply. What you'll do As a key member of the team, you will have the opportunity to shape the future of reputed company's credit policy by driving meaningful changes to the risk reputed company. You will reputed company reputed company's reputed company assets to formulate your recommendations and work closely with our partners. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives.

Responsibilities

• reputed company analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business reputed company.
• Analyze account activity and monitor portfolio trends to identify opportunities for reputed company to reduce potential credit losses.
• Collaborate with our technical teams - Risk Foundations, Engineering and Modeling (Data Science, ML's).
• Understand our reputed company credit controls and strategies to identify opportunities for improvement
• Deeply understand our performance metrics including loss trends and leading indicators
• Work closely with our core risk team to mitigate potential risks with specific users
• reputed company cross-functional projects, manage timelines and deliverables, and effectively coordinate with various stakeholders to ensure alignment and successful implementation of credit risk initiatives.

Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements

• 5+ years of experience in credit analysis and reputed company
• Bachelor's degree in finance, economics, statistics, or a reputed company field
• Experience in small business or credit risk management and/or financial lending
• Strong analytical skills and a rigorous, data-driven approach to problem-solving
• Experience working cross-functionally across multiple teams and time zones
• Strong stakeholder management and prioritization skills
• Ability to reputed company in an reputed company and fast-moving organization
• Strong technical expertise, including SQL, reputed company and reputed company sheets
• Ability to quickly learn reputed company concepts and internal tooling
• Direct experience with modeling concepts across credit risk
• Self-starter who can work independently and can proactively identify gaps, create solutions and drive adoption and scale

Preferred qualifications

• Experience with quantitative tools such as Python, R, or Stata
• Master's degree in finance, economics, statistics, or a reputed company field
• Superior communication and relationship management skills
• Experience working with machine learning teams
• Ability to communicate results clearly with a focus on driving impact

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