Technical Fraud Analyst - Strategic Data Solutions

Socket.dev; Austin (TX); On-site; USD 65,000 - 100,000; Full time

Job summary

Socket.dev's Strategic Data Solutions team seeks an experienced Technical Fraud Analyst to combat fraud in e-commerce. You will analyze complex patterns, partner with data scientists, and translate findings into actionable recommendations across the business.

You will track metrics, investigate anomalies, and help design analytic solutions for digital and physical goods. Strong SQL skills and a comfort with ambiguity are essential, with Python knowledge a plus.

Qualifications

• BS/BA or equivalent experience in a relevant field.
• SQL proficiency to query large, complex datasets and identify anomalies.
• Proven excellence in investigating adversarial trends and responding with appropriate actions.

Responsibilities

• Track operational and business metrics to align with goals.
• Perform analyses to identify fraud patterns and inform decisions.
• Communicate findings to team and leadership and prioritize tasks.
• Decision orders in mass or individually as needed.
• Support discovery of new business problems and design analytic solutions.
• Ideate and recommend new ideas to support fraud mitigation improvements.

Skills

SQL proficiency

Fraud analysis

Python

Education

BS/BA or equivalent experience

Tools

Python

Job description

The Strategic Data Solutions (SDS) team is looking for an exceptional and experienced fraud analyst who is passionate about combating fraud, waste & abuse through close collaboration with our highly skilled Data Scientists. As a Technical Fraud Analyst, you'll have solid business acumen in e-commerce fraud mitigation, a natural curiosity to dig when you see something, and the ability to effectively communicate with your peers and leadership. You'll enjoy and have experience analyzing complex fraud scenarios, using data from both internal and external sources. You'll also be skilled at interpreting data and providing recommendations and/or driving action across your team based on your findings. In this role, you'll combine your knowledge of fraud mitigation and market landscape with data science techniques/toolsets that you will learn in order to approach fraud mitigation in a new and exciting way. Your work may support physical goods or digital goods, or both areas as needed.

Description

• Track operational and business metrics to align with business goals and strategies
• Perform analyses to identify fraud patterns
• Communicate findings among team and leadership as well as providing recommendations and priority among open tasks
• Decision orders in mass or individually as demanded by current business needs
• Support discovery of new business problems and contribute to design of analytic solutions
• Ideate and recommend new and innovative ideas to support fraud mitigation improvements

Minimum Qualifications

BS/BA or equivalent experience in relevant fieldSQL proficiency with the ability to query large, complex datasets to identify anomalies, patterns, and fraudulent behaviorProven excellence in investigating adversarial trends, identifying behavior patterns, and responding with the appropriate actions

Preferred Qualifications

Demonstrable ability to develop cross functional partnershipsTells meaningful stories and identifies solutions based on dataDemonstrates a positive can-do attitude, works efficiently in a team centric, performance-based environment or alone if tasks require itIs comfortable dealing with ambiguityAbility to think creatively and approach problems flexiblyHas strong organizational skills with an ability to prioritize and balance multiple activities at onceDemonstrates a willingness to learn big data systems and programming languages such as Python. Prior experience a plus.