Fraud Data Analyst

Posted 5 Hours Ago
Seattle, WA, USA
In-Office
130K-145K Annually
Junior
eCommerce • Fintech • Payments • Software • Financial Services
We provide trusted digital financial services to our customers and recipients in over 170 countries across the globe.
The Role
Perform fraud-focused data analysis: process large datasets, run A/B tests, evaluate machine-learning models, build ETL pipelines and data models, and translate insights to product, compliance, and cross-functional teams to reduce fraud and improve product performance.
Summary Generated by Built In

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 Required

  • Master's degree in Data Analytics, Data Engineering, Computer Science, Engineering, or related field
  • 2 years of experience with data analysis, visualization, and reporting
  • 2 years analyzing large volumes of structured and unstructured data
  • 2 years applying Root Cause Analysis (RCA) for fraud detection and governance
  • 2 years analyzing clickstream and behavioral data
  • 2 years conducting A/B testing and statistical analyses
  • 2 years evaluating machine learning models (precision/recall, AUC, holdout analysis) and supporting production monitoring
  • 2 years building data models and transforming raw data into actionable insights
  • 2 years designing and managing ETL workflows and data pipelines
  • 2 years gathering stakeholder requirements, managing tasks, and delivering end-to-end fraud analytics solutions
  • 2 years collaborating cross-functionally with Product, Engineering, and Operations teams
  • 2 years translating complex quantitative analyses into actionable recommendations for technical and non-technical stakeholders
  • 2 years utilizing BigQuery, MS SQL Server, MySQL, PostgreSQL, Power BI, Python, and Tableau

What the Team is Saying

Luz
Colleen
David
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Seattle, WA
2,800 Employees
Year Founded: 2011

What We Do

Since 2011, Remitly has been tirelessly delivering on our promises to our customers sending their hard earned money home. Today, we are incredibly proud to have served millions of customers globally. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Why Work With Us

We are united through our vision to transform lives with trusted financial services that transcend borders. We accomplish our vision by relentlessly focusing on culture via our cultural values. That starts with putting customers at the center of everything we do, and includes investing in the growth & development of our team.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Remitly Teams

Team
Product & Tech
About our Teams

Remitly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our best work begins in moments when ideas spark, when we are deeply connected, and when we’re moving fast to solve challenging customer problems. These moments shape our culture. Our guidance is to committing to 3 days a week in the office.

Typical time on-site: 3 days a week
HQSeattle, WA
United Arab Emirates
India
Amsterdam, NL
Arlington, VA
Cork, IE
Kraków, PL
London, GB
Managua, NI
Manila, PH
New Westminster, BC
Spokane, WA
Tel Aviv-Yafo, IL
Learn more

Similar Jobs

Remitly Logo Remitly

Development Engineer

eCommerce • Fintech • Payments • Software • Financial Services
In-Office
Seattle, WA, USA
2800 Employees
180K-225K Annually

Remitly Logo Remitly

Principal Product Manager

eCommerce • Fintech • Payments • Software • Financial Services
In-Office
Seattle, WA, USA
2800 Employees
176K-220K Annually

Remitly Logo Remitly

Director, Head of High Value Senders Marketing

eCommerce • Fintech • Payments • Software • Financial Services
In-Office
Seattle, WA, USA
2800 Employees
184K-230K Annually

Remitly Logo Remitly

Development Engineer

eCommerce • Fintech • Payments • Software • Financial Services
In-Office
Seattle, WA, USA
2800 Employees
144K-180K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account