Tala

Manager

• Develop, refine and maintain sophisticated financial models to support forecasting, scenario planning, and business case analysis
• Lead the development and execution of the annual operating budget, long-range strategic plans, and regular financial forecasts (e.g., quarterly, monthly, rolling forecasts)
• Collaborate with various departments to gather inputs, understand key drivers, and ensure alignment with business objectives
• Design and implement planning frameworks and methodologies to improve accuracy and efficiency
• Understand the key drivers of the business (e.g. origination, repayment, conversion, unit economics/lifetime value of customer) and collaborate with global cross-functional teams as needed
• Participate in cross-functional projects, offering financial insights and recommendations to achieve strategic goals.
• Partner with senior leadership to evaluate business opportunities and capital allocation strategies
• Prepare and present clear and concise financial reports and insights to senior management, facilitating effective communication and decision-making.
• Monitor and report on key financial and operational metrics, providing insights to drive performance and accountability.

Senior Manager, Corp Planning

Backend Engineer

• Designing and building large components in multiple services.
• Work with the team to ensure high quality of architecture and design of systems.
• Create the optimum technical solution considering all the non-functional requirements.
• Functionally decompose complex problems into simple, straight-forward solutions.
• Articulate precisely both technical and business requirements by engaging with architects, data scientists, businesses, and product managers.
• Engage with team members through technical discussions, design, and ideation through white-boarding.
• Continually improve our codebase with clean and efficient code as well as solving problems using the most appropriate technology (especially leveraging the power of AI).
• Contribute to the testing infrastructure to increase code coverage for backend modules
• Advance monitoring and alerting capabilities of backend modules to allow proactive improvements to availability and response times.

Backend Engineer II

Analyst

• Proactively Monitor and Analyze Fraud Trends: Take ownership of fraud trends, analyze fraud controls, and provide recommendations to mitigate fraud.
• Manage Key Performance Indicators (KPIs): Own the fraud KPIs for your assigned markets, ensuring they align with and contribute to global metrics.
• Develop and Optimize Fraud Rules: Create and manage fraud rules, regularly evaluating their effectiveness by monitoring for good user impact, false negatives, and degradation. Continuously analyze data and trends to develop new rules and alerts.
• Contribute to Global Fraud Strategy: Play a key role in the creation, tuning, and monitoring of fraud models.
• Collaborate and Share Findings: Consistently share findings with key cross-collaboration partners such as the global fraud analysts, operations, data science, product managers, and engineering teams. Stay informed about business changes in-market, global fraud trends, and provide support to other markets as needed.
• Collaborate with PMs and domain experts to define fraud systems requirements
• Write efficient SQL queries and work with well-modeled data to generate reliable insights.
• Design and analyze experiments (A/B tests), presenting results with statistical rigor and actionable recommendations.
• Build and maintain dashboards and reusable metric definitions to enable self-service and consistent decision-making.
• Identify patterns, trends, and opportunities proactively and escalate to relevant parties.
• Document analyses and results in a central knowledge base to create leverage and prevent duplication.

Senior Fraud Analyst

Product Analyst

• Proactively Monitor and Analyze Fraud Trends: Take ownership of fraud trends, analyze fraud controls, and provide recommendations to mitigate fraud.
• Manage Key Performance Indicators (KPIs): Own the fraud KPIs for your assigned markets, ensuring they align with and contribute to global metrics.
• Develop and Optimize Fraud Rules: Create and manage fraud rules, regularly evaluating their effectiveness by monitoring for good user impact, false negatives, and degradation. Continuously analyze data and trends to develop new rules and alerts.
• Contribute to Global Fraud Strategy: Play a key role in the creation, tuning, and monitoring of fraud models.
• Collaborate and Share Findings: Consistently share findings with key cross-collaboration partners such as the global fraud analysts, operations, data science, product managers, and engineering teams. Stay informed about business changes in-market, global fraud trends, and provide support to other markets as needed.
• Collaborate with PMs and domain experts to define fraud systems requirements.
• Write efficient SQL queries and work with well-modeled data to generate reliable insights.
• Design and analyze experiments (A/B tests), presenting results with statistical rigor and actionable recommendations.
• Build and maintain dashboards and reusable metric definitions to enable self-service and consistent decision-making.
• Identify patterns, trends, and opportunities proactively and escalate to relevant parties.
• Document analyses and results in a central knowledge base to create leverage and prevent duplication.

Senior Product Analyst

• Design, develop, and maintain robust backend services, APIs, and data integration layers that power key product features.
• Write clean, efficient, and easily maintainable code, strictly adhering to established coding standards and best practices.
• Collaborate actively with cross-functional teams (including frontend engineers, product managers, and designers) to define and implement scalable backend solutions.
• Enhance overall code quality, performance, and security by participating in thorough code reviews.
• Contribute to the design and optimization of database schemas and queries to guarantee high performance and system reliability.
• Troubleshoot and resolve technical issues quickly and effectively across both development and production environments.