Risk and Anti-Money Laundering Analyst
Tala in Manila
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 the Fortune Impact 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 m ission.
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!
About the Role
The Risk and AML Analyst will focus on conducting investigations, monitoring transactions, ensuring regulatory compliance, and providing training and guidance on related matters. Additionally, the role requires collaboration with other departments, creating insightful analysis for management, and continuously improving processes.
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.
- Conduct detailed investigations into suspicious activities, potentially fraudulent transactions, and other risk-related incidents.
- Monitor transactions and account activities to detect and prevent money laundering activities, in compliance with AML/CTF/CPF regulations.
- Assist in preparation and submission of both regulatory & ad hoc reports to regulatory authorities as and when required.
- Assist in providing training materials and guidance to staff members on AML policies, procedures, and best practices.
- Maintain accurate records of investigations, findings, and actions taken, adhering to confidentiality and data protection standards.
- Ensure monthly reporting of Fraud Prevention effectiveness and prioritize different solutions based on insights and improvement opportunities coming from operational status.
- Work closely with other departments, such as Legal and Audit, to ensure an integrated approach to risk management and fraud prevention
- Create insightful analysis that aid management decision-making, improve performance, and reduce Operational Risks.
- Continuously review and enhance operational processes & identify potential risks inline with changing business environments and emerging risks.
- Training and awareness: Assist in developing training presentations and awareness programs to employees on operational risk management principles and best practices.
- Bachelor’s degree in Finance, Banking, Information Systems, or Business-related field of study.
- Experience in the financial sector
- At least 3 years experience managing Operational Fraud risk / Customer Complaints/ Analytics (preferred at a regulatory level)
- Strong demonstrated analytical/ problem solving skills
- Good verbal and written communication & presentation skills.
- Experience in trend analysis and alerts in early fraud prevention and detection
- Effective collaboration with diverse teams to analyze data, recognize patterns, and enforce preventive measures against fraud and operational risks