Senior Identity Fraud Analytics Engineer (Delivery)

Deloitte France; Philadelphia (Philadelphia County); Hybrid; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Deloitte US Delivery Center is seeking a Technical Identity Fraud Analytics Engineer to design, develop, and deploy advanced analytics for detecting and preventing identity fraud across client environments.

The role bridges data science, software engineering, and cybersecurity, translating large datasets into actionable intelligence, with responsibilities spanning model development, data pipelines, API integrations, and governance.

Qualifikationen

• Bachelor's degree required in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field
• 2+ years of experience in data engineering, machine learning, or analytics with a focus on fraud detection, risk, or identity and access management
• Experience with Python, SQL, and at least one additional programming language such as Scala, Java, or C++
• Experience with big data processing frameworks such as Spark or Hadoop and cloud platforms such as AWS, GCP, or Azure
• Experience with predictive modeling, anomaly detection, network or graph analysis, statistical evaluation, identity lifecycle management, Know Your Customer and AML requirements, and OAuth or SAML protocols
• Ability to travel 15%, on average
• Must be legally authorized to work in the United States without sponsorship
• Hybrid Work Model: residence within commutable distance to US Delivery Center locations

Aufgaben

• Design, build, and optimize ML models and heuristics to identify synthetic identities, ATOs, credential stuffing, and other fraud vectors
• Build scalable data pipelines to process high-volume real-time logs, transactions, and biometrics
• Collaborate with stakeholders to strengthen IAM, IDV, and authentication systems
• Perform forensic analysis on fraud trends and translate findings into new features and rules
• Integrate fraud detection APIs and identity/biometric tools into enterprise architecture
• Establish metrics and dashboards to monitor model performance, false positives, and capture rates
• Lead projects or workstreams and manage multiple tasks in a fast-paced environment
• Communicate findings clearly and build professional relationships

Kenntnisse

Python

SQL

Scala

Java

C++

Team collaboration

Communication

Deadline oriented

Interpersonal skills

Project leadership

Time management

Independent work

Ausbildung

Bachelor's degree in Cybersecurity/CS/Info Systems/Engineering

Tools

Spark

Hadoop

AWS

GCP

Azure

Jobbeschreibung

Deloitte US Delivery Center is seeking a Technical Identity Fraud Analytics Engineer to design, develop, and deploy advanced analytics for detecting and preventing identity fraud across client environments.

The role bridges data science, software engineering, and cybersecurity, translating large datasets into actionable intelligence, with responsibilities spanning model development, data pipelines, API integrations, and governance.