Company: Salmon
Location: Manila, Philippines(office) Remote work is possible, preferred time zones GMT+4 to GMT+10
In today's world, traditional banking practices and conventional lenders have failed to keep pace with innovation. People deserve better financial services. At Salmon, we recognized this gap and decided to shake things up.
Led by a dynamic team of financial professionals and entrepreneurs, and backed by world-class investors, Salmon is on a mission to revolutionize financial services. We’ve built a business capable of raising over $60MM from the ADQ (the sovereign wealth fund of Abu Dhabi), World Bank Group, and other investors — despite a challenging market. Through innovative technology, intuitive product design, robust security measures, advanced data analytics, and unwavering dedication to customer saisfaction, we're redefining what it means to bank in the modern era.
We are building Salmon to become a financial technology business that works impeccably 24x365, providing easy access to finance for millions of Filipinos. We aim to foster financial inclusivity and empowerment with our customers.
We thrive on challenges and opportunities for growth. Our team is constantly seeking individuals with sharp analytical minds and a knack for innovation. If you're someone who loves tackling complex problems and isn't afraid to voice your ideas, then Salmon is the perfect place for you.
We're looking for an experienced Data Analyst to help grow our credit card business and enhance our product. In this role, you'll analyze customer behavior and evaluate our business economics using a customized Python library, which you'll also help improve. Working closely with various teams, your insights will directly influence strategies to increase customer acquisition, retention, and overall profitability. Your analysis will significantly impact strategic decisions and economic planning.
We aim to enhance our forecasting NPV/LTV unit-economics model for our Credit Line / Credit Card product. You will help implement a new and accurate NPV/LTV model, clearly documenting your assumptions and modeling techniques.