Data Scientist, Fraud

Seattle, WA

Applications have closed

Remitly

Transfer money internationally to 170+ countries and 100+ currencies with no hidden fees. Receive funds securely using convenient delivery options.

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Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. Today, we are incredibly proud to have served millions of customers globally with Remitly and our newly launched Passbook app to provide immigrants access to banking. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 1,800 employees across 9 offices who are growing their careers while having a positive impact on people globally.

About the Role:

You will design and experiment with new features to improve our ability to detect fraud and reduce the customer impact resulting from our efforts to reduce fraud. Feature work is imperative to improve the scoring performance of our proprietary fraud models and to better account for shifting fraud patterns. You will work with other data scientists, product analysts, MLEs & SDEs, along with fraud program & product managers. You will also focus on how both new/existing features may be better used to optimize the performance of our system.

You Will:

  • Deliver written business analysis with clear reasoning and actionable conclusions
  • Scope engineering requirements for developing new fraud scoring features
  • Solve problems at scale by building reproducible analyses and designing modules in Python
  • Make tradeoffs between fraud losses and customer friction

You Have:

  • 3+ years experience in analytics, data science or consulting role
  • 3+ years experience using SQL and Python for analysis
  • Degree in mathematics, engineering, business, economics, or other quantitative fields
  • You can start from a white space problem, develop hypotheses, build analytical frameworks, write effectively to drive decisions
  • You communicate decisions across both individual contributors and leadership. You can state and defend your decision-making process
  • You are scrappy, creative, and think of creative solutions in a constrained environment.
  • You will need to have a high degree of ownership.

Our Benefits

  • Unlimited paid time off
  • Health, dental, and vision benefits + 401k plan with company matching
  • Company contributions to your HSA or FSA plan, if you choose one
  • Employee Stock Purchase Plan (ESPP) available for eligible employees
  • Continuing education and corridor travel benefits

Remitly is an Equal Opportunity Employer. Equal employment opportunity has been, and will continue to be, a fundamental principle at Remitly. 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

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Banking Consulting Economics Engineering Mathematics Python SQL

Perks/benefits: 401(k) matching Health care Startup environment Unlimited paid time off

Region: North America
Country: United States
Job stats:  2  1  0
Category: Data Science Jobs

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