Senior Manager, Portfolio Analytics

About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for five years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 7 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. 

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

We are seeking an experienced senior manager to lead our portfolio forecasting team. This team operates at the intersection of Finance, Credit, and Product, translating product changes and fluctuations in risk and customer behavior into financial outcomes. As the team lead you will be responsible for various data models and oversee the building out of new capabilities – utilizing this data to drive company strategy by identifying new opportunities/risks and finding innovative ways to grow the business. The results of the initiatives you lead will drive key business decisions and empower and amplify our team to achieve Tala’s mission of being a financial agency for all!

• Be an expert on customer LTV (Lifetime Value). Understand the key drivers of portfolio health (e.g., origination, repayment, retention, lifetime value) and how those drivers translate to overall business results. Help your cross-functional stakeholders understand what is important for their world as well. 
• Have an impact on business strategy. Your job is not just to create/oversee models, but to utilize your understanding of these business levers to inform and drive business decisions such as marketing spend and credit approvals.
• Set best practices. Own Finance’s LTV (Lifetime Value) forecasting codebase (python) and oversee the implementation of efficient and scalable solutions with high levels of accuracy. You understand the trade-off between accuracy and level of effort and seek to find the right balance depending on the task at hand.
• Be curious. Independently identify new opportunities and analyses by leveraging your deep understanding of the customer journey. Find areas of high leverage, dig in, and make an impact. 

• You have a technical background but are keenly interested in how to leverage data to drive business decisions – having an impact on company strategy and decision-making is highly motivating for you
• You are not only capable of building complex models, but you’re able to distill key learnings and translate numbers into compelling and clear narratives
• You enjoy collecting and deciphering complex data, and are a highly innovative problem-solver
• You approach a problem from different perspectives and use your holistic understanding of the business to see new opportunities/risks
• Passionate about social enterprise and find meaning in working to make the world a better place
• Elevate your team! This goes for any direct reports as well as business partners, etc. – understand that your impact grows exponentially the more you are able to empower others. Be a role model for candor, feedback, bias-to-action, and crisp, clear communication.

• 5+ years of relevant experience and BS in Data Science, Math, Statistics, Business Analytics, Computer Science, Engineering, Finance, Economics, or related fields
• Strong analytical background with a proven ability to draw relevant and impactful business conclusions from data.
• Object-oriented programming in python, including designing custom classes, writing scalable and well-documented code, as well as auditing and testing code.
• Knowledge of relational databases and experience with building queries in SQL
• Knowledge of and experience with reporting and data visualization packages (Looker, Tableau, Plotly, Bokeh).
• Strong communication skills with the ability to influence in an dynamic, cross-functional environment