Data Scientist, Credit & Fraud Risk

We are currently seeking an accomplished Credit and Fraud Risk Data Scientist to join our growing lending team at Remitly. 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 existing models.

About Remitly: Our vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been delivering promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers, giving customers access to more 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 positively impacting millions globally.

You Will:

• Develop credit and fraud risk models using advanced machine learning, statistical, and quantitative methodologies.
• Utilize programming skills in Python to develop, implement, test, and maintain credit and fraud risk models, ensuring accuracy and efficiency.
• Design, conduct, and analyze appropriate test types (e.g. A/B/n, multi-variate, population) that drive lending strategic choices and models.
• Contribute to assessing the impact of lending strategies and the development of Customer Lifetime Value models with advanced 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 areas for improvement.
• Stay updated on industry trends, regulations, and best practices in quantitative analytics, credit, and fraud risk modeling.

You Have:

• Masters in Statistics, Mathematics, or Data Science preferred.
• Strong proficiency in programming languages, especially SQL and Python.
• Expertise in advanced machine learning and statistical modeling techniques, with experience in developing and implementing models.
• Excellent communication skills 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 $132,000-$165,000.
• In the U.S., Remitly employees are shareholders, and equity is part of our total compensation plan.
• Your recruiter can provide more information about medical benefits, financial benefits, and total compensation components.

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 business operations. Employment is based on 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 discharged veteran, pregnancy-related conditions, sexual orientation, age (40 and over), national origin, citizenship or immigration status, disabilities, and other protected classes as established by law.

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