Role Description As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. 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 - Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. - Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. - Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across different geographies and industries. - Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into our credit assessment. - Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses. - Help scale risk processes by working with partners to design and optimize outsourced workflows. Qualifications - 5+ years of experience in credit analysis and underwriting. - Bachelor's degree in finance, economics, statistics, or a related field. - Experience in risk management, financial lending, or core credit risk management function. - Strong analytical skills and a rigorous, data-driven approach to problem-solving. - Experience working with both internal and external stakeholders and the ability to closely manage expectations and deliverables in a timely manner. - Ability to thrive in an unstructured and fast-moving organization. - Strong technical expertise, including SQL, Excel, Google Sheets. - Self-starter who can work independently. Requirements - Experience with quantitative tools such as Python, R, or Stata. - Master's degree in finance, economics, statistics, or a related field. - Superior communication and relationship management skills. - Experience with credit scoring models. - Experience working with machine learning teams. - Ability to communicate results clearly with a focus on driving impact.

• Ensure strategic alignment of Information Security GRC initiatives with the bank’s risk management strategy. • Drive Information Security GRC initiatives to strengthen the security posture while ensuring compliance. • Operationalize ESG-relevant cybersecurity controls, metrics, disclosures, and assurance activities within ISG.

Role Description Under minimal supervision, responsible for data analytics and visualization for the Engineering Decision Support department. - Interfaces and coordinates with counterparts in multiple operating companies to obtain required input data for modeling and technical support. - Responsible for building database libraries and assisting with data extracts and data manipulation as needed. - Conducts data analysis in support of operational and planning projects. - Manages and participates on complex projects and project phases related to the development, testing, and roll-out of new business systems, infrastructure, reports, process, data feeds and other deliverables related to the enterprise brokerage and transportation systems. - Collaborates with various departments and levels of management in designing and providing analytical capabilities via management information systems and decision support tools. - Effectively communicates with internal and external customers to capture current data management requirements and objectives from different stakeholders that define their needs. - Gathers business requirements and determines most effective and efficient reporting platform. - Interfaces with stakeholders to understand analytical needs for entire organization. - Works with team to conduct root cause analyses and communicates improvement recommendations. - Designs and develops metrics and reports, dashboards and analyses to drive key business decisions. - SQL expert and general understanding of databases, relationships and data integrity concepts. - Assesses opportunities and makes recommendations on business strategies and technology architecture relative to management information systems and decision support tools. - Responsible for developing and implementing Data visualization best practices; manages data visualization needs and provides details roadmap to management. - Conducts large scale data analysis and modeling to derive actionable insights. - Reviews outputs for trends across the industry and provides effective data storytelling. - Performs other duties as assigned. Qualifications - Bachelor's degree/equivalent in engineering, data analytics, computer software or related technical or quantitative discipline. - Five (5) years experience in data analytics, data management and/or engineering. - Excellent analytical, problem solving, presentation, project management, SQL, data analytics tools (e.g. SAS), data visualization tools (e.g., Tableau, SAS VA, Spotfire). - Excellent human relations, organizational/time management and communication skills. Benefits - Health, vision and dental insurance. - Retirement. - Tuition reimbursement. Company Description FedEx Logistics provides freight forwarding, as well as import and export services that allow companies to reach markets throughout the world. They help customers of all sizes solve the intricacies of shipping goods globally by providing comprehensive international ocean and air freight forwarding, surface transportation and distribution, customs brokerage, trade and customs advisory services, and advanced e-commerce and trade facilitation solutions. FedEx Logistics is an Equal Opportunity Employer including, Vets/Disability.

• Leads enterprise data governance, privacy, and risk management efforts to ensure the compliant, secure, and responsible use of data across all lines of business, including Commercial, Medicare, and Medicaid. • Establishes and operationalizes governance frameworks, decision protocols, standards, and controls that promote data quality, transparency, accountability, and appropriate use of sensitive health information. • Partners closely with Legal, Compliance, Security, Informatics, and business leaders to translate regulatory requirements, contractual obligations, and enterprise policies into practical governance processes and risk-based controls. • Responsible for identifying, assessing, and mitigating risks across data sharing, access, lineage, downstream use, and third-party relationships, while enabling audit-defensible decision-making and scalable governance practices aligned with business objectives and regulatory expectations, including HIPAA, CMS mandates, and state privacy requirements. • Expected to lead the communication strategy across varied audiences and organizational levels, and to drive outcomes through highly polished, structured program management disciplines.