Senior Data Analyst
2 days ago
Greenbox Capital is a dynamic growing fintech company, operating in the USA and Canada. We are dedicated to ensuring that small and mid-sized businesses thrive by providing financial resources when they need them most. Our team members are vital partners to our clients and demonstrate integrity and an unparalleled commitment to service and teamwork every day. If you are interested in joining a dynamic work environment where you will be recognized for your contributions, we would love to talk to you.
Greenbox Capital is seeking a highly skilled and motivated experienced data analyst to join it’s team. This remote role in India plays a crucial part in supporting our lending operations by providing in-depth analysis, data-driven insights, and strategic recommendations. You will work closely with various departments to ensure our lending decisions are well-informed and aligned with our risk management framework.
This role is based out of India.
Responsibilities:
- Conduct detailed data analysis to assess credit risk, identify trends, and evaluate the performance of loan portfolios.
- Interpret complex data sets and provide actionable insights to support lending decisions and business strategies.
- Develop and deliver regular automated reports and dashboards to senior management, highlighting key metrics, trends, and insights.
- Perform scenario analysis and stress testing to evaluate potential risks and opportunities.
- Identify opportunities to enhance data collection, analysis processes, and reporting methods.
- Implement best practices and innovative solutions to improve efficiency and accuracy in data analysis.
- Communicate complex analytical findings and recommendations to non-technical stakeholders clearly and concisely.
- Explore and integrate new data technologies and methodologies to enhance analytical capabilities.
Qualifications:
- Bachelor's degree in mathematics, Finance, Economics, Statistics, Data Science, or a related field. Advanced degree or relevant certifications are a plus.
- At least 4 years of professional work experience.
- At least 3 years of experience in data analysis, preferably within the commercial lending or fintech industry.
- Proficiency in programming languages such as Python, SQL, and data visualization tools such as Microsoft Office Suite and Power BI (will be tested).
- Experience in Cloud Computing Services such as Microsoft Azure is a plus.
- Proven track record of conducting complex financial analyses and providing strategic recommendations.
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