Fraud Data Scientist

 

About us

At Auctane, we are united by a passion to help sellers — wherever they are, however they operate — fulfill the promises they make to consumers. The Auctane mission is to fuel commerce through exceptional delivery. We make it possible for businesses to meet the ever rising expectations of their customers, and we make the world smaller and more accessible to consumers everywhere. Auctane brands enable hundreds of thousands of merchants to annually deliver billions of products — over $200 billion worth — to customers around the globe. And Auctane is just getting started.

Auctane is a team of shipping and software experts with a passion for helping merchants move their ideas, dreams and innovations around the globe. The Auctane family includes ShipStation, ShipWorks, ShipEngine, ShippingEasy, Stamps, Endicia, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values

About the role

As a Fraud Data Scientist, you will be responsible for risk identification and development of fraud detection and prevention strategies.  This individual will be responsible for managing fraud rules, models and other controls to optimize effectiveness of Fraud strategies and policies for application fraud detection while maintaining good customer experience. This role requires prior data science and/or analytics experience in Fraud Risk management.  The ideal candidate will have  a self-starter, highly analytical, and intensely detailed with a strong customer focus.

What will you be doing?

Primary Objectives:

• Providing fraud systems/data subject-matter-expertise in the evaluation and development of new fraud systems / tools and their implementation
• Supporting the delivery of predictive analytics and models to allow the development of new Fraud Management solutions and better understand fraud control strategies that may be deployed
• Optimizing fraud rules to maintain high performance level, best customer experience and strong fraud detection
• Rapidly identifying emerging fraud trends through data driven analysis and developing tactical/strategic fraud rules to address them

What are we looking for?

• Bachelor’s degree in Computer Science, Math or equivalent years of relevant work experience
• Two plus (2+) years of experience in Credit Risk, Fraud Risk, Modeling/Data Science or related
• Four plus (4+) years’ experience with SQL and relational databases (e.g. PostgreSQL, MySQL, SQL Server)
• Four plus (4+) years of experience utilizing data mining techniques using SAS, Python and other equivalent data science tools

What will make you stand out?

• Solid understanding of machine learning and statistical methods with their underlying theory and math
• 2+ years of experience as a fraud data science analyst with background using techniques like device related information, network related information for detecting fraud activities
• 2+ years of experience in performing research to identify fraud related trends, and present compiled information to other analysts, Artificial Intelligence experts, and senior leadership
• 2+ years of experience in specific fraud threat vectors in digital space like detecting enumeration related activities, account takeover, edge defense, and proactive detection of accounts that could potentially be compromised
• Exceptional ability to think both strategically and analytically

What do we offer?

🗓️ Annual Salary Review: We are reviewing the salaries of all our teams annually in order to evaluate an increase according to individual performance and the business results.

📙 Personal Training Budget. Up to 7.000/ 4.100 PLN/year training budget (certifications, conferences attendance, etc.) to invest in your professional development. We want to help you improve your technical skills, feel involved in the product community, and develop your soft skills to lead teams and manage other stakeholders.

🌅 Up to 30 days of vacation per year (additional days are granted along with seniority at AUCTANE).

💙 Up to 500 PLN/year to match your NGO donations! We are happy to support your initiatives by duplicating the amount donated.

😊 Volunteer day. You can take 1 day off per year in order to participate in volunteering activities! We will love to see some pictures in our slack!

Referral Fee 🔗 We need your support in hiring top-class talent! We offer a referral bonus of 4k-20k PLN, depending on the complexity of the role and the hiring process.

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