Overview

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money. We’re looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. Join over 2,800 Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role

We’re looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms—from real-time currency-exposure forecasting to automated hedging strategies—to improve Remitly's overall risk management and liquidity planning. This role is based in London reporting to the Head of Treasury Analytics and Data Science, and involves collaboration across global teams, requiring strong communication and coordination skills.

You Will

• Develop, deploy, and monitor ML models that forecast FX exposure, optimise hedging, and improve liquidity planning.
• Build predictive cash-flow models and scenario simulations to inform funding strategies.
• Enhance our analytics platform with automation, feature-store design, and CI/CD best practices.
• Own model governance: validation, A/B testing, drift detection, and documentation that meets audit requirements.
• Translate business questions into well-scoped technical tasks and clearly communicate results to stakeholders, including senior leadership.

You Have

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus).
• Proficiency in Python—including pandas, scikit-learn, TensorFlow/PyTorch, LightGBM/XGBoost—and experience with SQL.
• Hands-on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform).
• Solid understanding of software engineering fundamentals: version control, code reviews, automated testing, and containerization.
• Familiarity with FX markets, risk management concepts, or financial forecasting.
• Excellent problem-solving skills and ability to explain technical ideas to non-technical audiences.
• Experience with real-time data pipelines, event-driven architectures (Kafka/Kinesis), or modern data warehouses (Snowflake, Redshift, BigQuery) is a plus.

Our Benefits

• Paid Vacation Days
• Health insurance
• Commuter benefit
• Employee Stock Purchase Plan (ESPP)
• Mental Health & Family Forming Benefits
• Continuing education and corridor travel benefits

Our Connected Work Culture

Driving Innovation, Together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs.

Equal Opportunity

Remitly is an E-Verify Employer. We are committed to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations. Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.