Hiring.Camp

Fraud Data Analyst

Remitly is

·

Yesterday

Salary
$130k – $145k
Location
Seattle, Washington United States, United States of America
Type
Full-time
Experience
2+ years
Source
Workday

Description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money— we're here to move our global customers forward.

We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

Under the supervision of the Director, Analytics, the Fraud Data Analyst will apply advanced data analytics and statistical methodologies to detect fraud risks, evaluate product performance, and drive data-informed strategies that enhance compliance, customer experience, and long-term product integrity. Telecommuting is available up to 3 days per week within the Seattle Metropolitan area, based on manager approval.

You Will:

  • Gather, analyze, manipulate, and process large data sets using statistical software and advanced data analytics technologies to assess fraud risks, balance risk and reward in product development, evaluate product system performance, and enhance operational effectiveness. 

  • Design and execute fraud-focused product analytics experiments, leveraging A/B testing, computer science techniques, and product performance analyses to identify fraud patterns and drive product enhancements. 

  • Collaborate with Product, Business Leaders, and Compliance teams to implement fraud-related data insights into new product experiences, ensuring compliance and continuously improving customer experience through data-driven recommendations. 

  • Leverage findings from fraud analytics to define and execute long-term fraud prevention strategies and product roadmaps across cross-functional product teams, aligning risk management with business objectives.

You Have:

  • Position requires a Master’s degree in Data Analytics, Data Engineering, Computer Science, Engineering, or a related field, and 2 years of experience with data analysis, visualization, and reporting. 

  • 2 years of experience with analyzing large volumes of structured and unstructured data; 

  • 2 years of experience with applying Root Cause Analysis (RCA) to identify and resolve issues in fraud detection, governance, and product workflows; 

  • 2 years of experience with analyzing clickstream and behavioral data; 

  • 2 years of experience with conducting A/B testing and statistical analyses; 

  • 2 years of experience with evaluating machine learning models, including precision/recall, AUC, holdout analysis, and supporting data science teams in monitoring production models; 

  • 2 years of experience with building robust data models and transforming raw data into actionable insights;

  • 2 years of experience with designing and managing ETL workflows and data pipelines; 

  • 2 years of experience with gathering requirements from stakeholders, managing tasks, and delivering end-to-end fraud analytics solutions to internal customers; 

  • 2 years of experience with collaborating cross-functionally with Product, Engineering, and Operations teams; 

  • 2 years of experience with translating complex quantitative analyses into actionable recommendations for technical and non-technical stakeholders; and 

  • 2 years of experience with utilizing BigQuery, MS SQL Server, MySQL, PostgreSQL, Power BI, Python, and Tableau.

Compensation Details. The starting base salary range for this position is typically $129,709.00 - $145,000.00 per year. 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.

#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

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

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

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.

Skills

PythonSQLPostgreSQLMySQLSQL ServerMachine LearningBigQueryData ScienceData EngineeringETLTableauPower BIRisk ManagementCompliance

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