Senior Credit Strategy Analyst

Tala; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

Tala is seeking a key member for its global Credit team to leverage data for improving credit product offerings. The role involves analyzing data, implementing strategies to reduce default rates, and contributing to product development. Join a mission-driven team focused on financial inclusion.

Qualifications

• 2-5 years experience in analytical roles.
• Comfortable with data and able to make recommendations.

Responsibilities

• Create and implement strategies to reduce default rates.
• Monitor recovery/default rates and optimize strategies.
• Develop new products and features for customer segments.

Skills

Analytical Skills

Data Interpretation

Bilingual in English

Tools

SQL

Python

Job description

About Tala

Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by theFortuneImpact 20 list,CNBC’s Disruptor 50 five years in a row,CNBC’s World's Top Fintech Company,Forbes’Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our 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, over nine 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. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role

As a key member of Tala’s global Credit team, you will leverage our large amount of data to analyze, test, and make data-driven recommendations to improve our credit product offering, partnering closely with our product, data science, and in-market team. A critical component of your role will be to derive insights that identify Tala’s highest leverage opportunities for growth and shape our global roadmaps. The results of the initiatives you lead will increase financial access for our customers and drive positive business outcomes.

What You'll Do

• Help create and implement strategies to reduce default rates and improve retention
• Closely monitor the recovery/default rate in each of our markets and make recommendations to optimize the strategy when necessary
• Identify, test, and implement strategy changes in conjunction with the product and in-market teams
• Contribute to the development of new products and features for various customer segments
• Partner with other functional members of the country team to drive positive customer and business outcomes

What You'll Need

• 2-5 years experience in analytical roles; being comfortable with data is a must
• Proficiency in SQL (required) and Python (preferred)
• Ability to pull, process, and interpret vast amounts of data in a self-sufficient manner
• Ability to use a combination of data, assumptions, and intuition to formulate recommendations
• Ability to navigate the product life cycle - taking an initiative from ideation to implementation
• Bilingual in English

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.