About the Role

• This is not a reporting-only or ticket-driven analyst role.
• This is a foundational analytics hire who will help shape how Parker uses data across Risk, Credit, Fraud, Product, Growth, and Finance. You will define how key business and risk questions are measured and turn open-ended questions into durable high-quality analytical systems.
• If you want a role where you own important problems end-to-end and your work directly influences capital allocation, credit decisions, and growth strategy — this is it.
• Design, build and own core analytical metrics and dashboards used by leadership and operating teams
• Analyze transaction, customer, and credit data to drive decisions across credit risk,
• fraud & AML, portfolio performance, unit economics, and growth
• Build automations and data pipelines using SQL and Python (or similar)
• Partner closely with Risk, Product, Growth, Finance, and Compliance leaders on high-
• impact initiatives
• Turn messy, ambiguous questions into clean data, clear metrics and actionable insights
• Perform and own business-critical compliance reporting activities for the Risk team
• Excellent command of SQL (you can reason about performance, not just write queries)
• Strong ability to write Python or similar for data workflows and automation
• Strong mental model of data modeling, tables, schemas, and joins
• Demonstrated ability to break down ambiguous problems, decide what should be
• measured, and build clean, reliable outputs
• AI-first approach to create practical applications using Gen AI and LLMs
• High ownership mindset: we want you to write your specs and not wait for them
• Strong business judgment and curiosity about how companies actually operate
• High standards for clarity, correctness, and simplicity
• No prior fintech or credit experience is required, but you must show the ability and desire to learn complex domains quickly.
• 1–3 years of experience in analytics, data, or technical roles
• Experience in fintech, payments, lending, or financial services
• Prior work in credit, fraud, risk, or financial analytics
• Experience using statistical or data science libraries
• Experience with LLMs or AI-assisted analytics / automation workflows
• Competitive salary
• Equity (ESOP) in a fast-growing fintech company
• A role with real ownership and real consequences
• Direct exposure to credit strategy, risk management, capital allocation, and business
• and growth strategy
• The chance to build analytics the right way from early stages
• Work on applied AI / LLM-driven analytics and automation
• A steep growth curve and increasing scope over time
• Care deeply about doing things correctly, not just quickly
• Like messy problems and vague questions
• Want to build systems, not just answer one-off questions
• Are excited by high responsibility and high standards
• Want your work to visibly shape how a fintech company operates