Job
Description
Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit, all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, Bluevine is empowering entrepreneurs to grow with confidence. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, Bluevine has been supporting SMBs since 2013, serving over 750,000 customers nationwide and growing a dynamic global team of 500 people. The mission of Bluevine is to fuel small businesses with the financial tools they need to succeed. At Bluevine, you will be part of a collaborative, fast-paced team that is reshaping the future of banking. Are you ready to make an impact This is a hybrid role at Bluevine. The company prides itself on its collaborative culture, which is believed to be best maintained through in-person interactions and a vibrant office environment. All offices have reopened in accordance with local guidelines and are following a hybrid model. In-office days will be determined by location and discipline. Role Summary: Bluevine is looking for a skilled and motivated Credit Strategy Analyst II to join the Credit and Pricing Strategy team. This role requires a strong analytical mindset with hands-on experience in analysis, strategy development, and real-time automated decisioning. The candidate will be responsible for designing, optimizing, and implementing risk and pricing strategies by leveraging analytics, automated decisioning systems, and statistical models to drive top-line growth and profitability. This position sits at the intersection of strategy, analytics, and engineering, ensuring that strategies are effectively implemented in production through internal decision engines. The ideal candidate should possess business acumen, technical expertise, and a good understanding of risk-based decision-making in a high-growth financial environment. Responsibilities: - Develop and Optimize Strategies: Build, refine, and implement data-driven risk and pricing strategies, balancing credit risk and funding. - Automated Decisioning & Implementation: Define and develop end-to-end automated decision workflows, integrating them into internal digital underwriting engines using Python. - Analytics: Perform in-depth analysis on large datasets to identify patterns, assess risk, and refine pricing strategies, ensuring data-driven decision-making. - Experimentation & Continuous Optimization: Design and execute A/B tests to refine decision-making processes. - Cross-Functional Collaboration: Work closely with Data Engineering, Product, and Data Science to gather insights and conduct analysis of potential strategies. - Monitoring & Feedback Loops: Develop and maintain dashboards to track key performance metrics. What are we looking for - Technical Proficiency: Strong foundation in SQL and Python/R. - Analytical & Problem-Solving Skills: Ability to translate raw data into actionable insights, leveraging statistical techniques and data visualization tools. - Communication: Ability to translate complex analytical concepts into business-friendly insights for stakeholders. - Adaptability & Entrepreneurial Mindset: Thrives in fast-paced, high-growth environments, handling ambiguity with confidence. - Experimentation & Optimization: Experience with A/B testing and iterative improvements in decision-making process. Required Experience and Education: - Bachelor's Degree in a quantitative field (Mathematics, Statistics, Economics, Engineering, Data Science, or related disciplines). - 1-2 years of relevant experience in analytics/strategy. - High proficiency in SQL, Python/R, and Excel. - Knowledge of dashboarding tools like Tableau, Power BI, Metabase, etc. Not required, but a plus: - Familiarity with risk modeling, credit decisioning frameworks, and pricing elasticity analysis. - Experience in financial services, especially U.S. banking, fintech, credit line, or credit card industries. - Exposure to machine learning models and deployment in risk/credit decisioning. Benefits & Perks: - Excellent group health coverage and life insurance. - Stock options. - Hybrid work model. - Meal allowance. - Transportation assistance (terms and conditions apply). - Generous paid time off plan, Holidays. - Company-sponsored mental health benefits. - Financial advisory services for both short- and long-term goals. - Learning and development opportunities to support career growth. - Community-based volunteering opportunities.,
