Staff Security Engineer, Fraud and Abuse Detection

Staff Security Engineer, Fraud and Abuse Detection

This job is no longer open

The Position

You will be responsible for helping to protect Twitter customer’s data from fraud and abuse through a combination of threat modeling, data analysis, and machine learning. You will help identify and manage insider threat and system abuse risks and work with partner teams to detect, reduce, and manage them. You will design, advocate, and help build security analytics addressing insider threat concerns.

As an Staff Fraud Engineer, you will perform these key tasks:

  • Design and implement capabilities for monitoring, observability and detecting irregular and/or abnormal internal activities

  • Aggregate, analyze, and evaluate technical data sources to identify insider risks

  • Build sustainable processes of identifying signals and building threat models around them to enhance predictive capabilities

  • Coordinate with insider threat operations to tune and improve detection capabilities or to aid in investigations or respond to incidents

  • Provide mentoring and guidance on technical insider risk related matters, methodologies, and techniques both within the team and to external partners

Qualifications

You care about security and building a secure environment for the people using Twitter everyday. You are curious, and have experience with the tools of the trade, comfortable digging into the details, and eager to help others protect our systems. Ideally, you have most of the following:

  • 5 or more years of practical industry experience in applying analytics, machine learning, or data mining to fraud and abuse detection

  • Working knowledge of SQL, Spark, BigQuery, or Hadoop preferred

  • Knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection

  • Experience with at least one of the following languages: Python, Scala, or Java

  • Graduate degree or equivalent experience with a focus on mathematical and statistical topics or other quantitative discipline 

  • Excellent written communication skills

Company Description

Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.