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:

We are currently seeking an accomplished Credit and Fraud Risk Data Scientist to join our growing lending team. The successful candidate will play a key role in advancing the credit and fraud risk modeling capabilities, performing statistical analytics, designing experiments, enhancing credit underwriting and fraud mitigation strategies and monitoring the performance of the existing models.

You Will:

• Develop credit and fraud risk models, utilizing advanced machine learning, statistical and quantitative methodologies
• Utilize programming skills in Python to develop, implement, test, and maintain credit & fraud risk models, ensuring accuracy and efficiency
• Design, conduct and analyze appropriate types tests (e.g. A/B/n, multi-variate, population) that drive our lending strategic choices and models
• Contribute to assessing impact of our lending strategies and the development of the Customer Lifetime Value models with advanced modeling techniques
• Collaborate with cross-functional teams to enhance existing credit underwriting and fraud mitigation strategies
• Conduct in-depth statistical analyses and provide insights into market risk factors, trends, and potential areas of improvement
• Stay abreast of industry trends, regulations, and best practices in quantitative analytics, as well as credit and fraud risk modeling

You Have:

• Masters in Statistics, Mathematics or Data Science preferred.
• Strong proficiency in programming languages, with a emphasis on SQL and Python.
• Expertise in advanced machine learning and statistical modeling techniques with experience successfully developing and implementing models.
• Excellent communication skills with the ability to convey complex quantitative concepts to non-technical stakeholders.
• Direct experience in financial services credit and fraud risk models preferred.

Compensation Details. The starting base salary range for this position is typically $132,00-$165,000. 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 benefits + 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 corridor 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.