Job Description:

Remitly’s vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.

About the Role:

Machine learning is at the center of fraud prevention at Remitly. You will develop models for assessing the riskiness of every customer and transaction at Remitly. You will work with engineers on the scoring and machine learning platform teams to ensure your models meet latency and uptime requirements. You’ll work with Data Scientists to understand fraud trends and develop new modeling and feature strategies to stay ahead of fraudsters and organized crime. You will report to the Manager of Machine Learning Engineering.

You Will:

• Build models that make automated decisions on billions of dollars worth of international money transfers
• Build machine learning models that detect malicious activity and actors in our system
• Work with the ML infrastructure team to ensure models can meet latency and uptime requirements
• Work with the engineers on the scoring engineering team to guarantee a robust pipeline of new features to add to implement.
• Report to the manager of the Scoring Machine Learning team.

You Have:

• Bachelor’s degree in a quantitative field or equivalent experience
• 3+ years experience building production Machine Learning systems (experience with classification problems preferred)
• Knowledge of both the theory and application of ML algorithms
• Candidates should have hands-on experience with Python and ML libraries (e.g., scikit-learn, scipy, numpy, matplotlib, pandas etc), SQL, and Spark.
• You’re motivated by creating a meaningful impact for our customers and business. You’re excited to take on a variety of tasks to help your product and team be successful.
• Experience making tough technical tradeoffs. You sweat the details to understand the impacts of these tradeoffs and find a careful balance between short-term outcomes and long-term effects.

Compensation Details. The starting base salary range for this position is typically $160,000-$200,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits:

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman’s potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an E-Verify Employer

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.