Hybrid Fraud Analytics Specialist – Istanbul

IBTECH A.S.; Fatih; Hybrid; TRY 180,000 - 260,000; Full time

Job summary

IBTECH A.S. in Istanbul offers a hybrid role focused on fraud analytics and risk intelligence. The position requires a Bachelor's degree in Engineering, Mathematics, or Statistics, plus experience in banking fraud prevention.

Responsibilities include designing and validating rule-based fraud detection, building and testing analytical models, and integrating fraud workflows with core banking systems. Strong English and SQL skills are expected.

Qualifications

• Bachelor's degree in Engineering, Mathematics or Statistics.
• Strong communication and collaboration skills.
• Good command of English.
• Experience with SQL.
• Good command of a programming language.
• Minimum 2 years in banking fraud prevention.
• Preferably knowledge of SAS Enterprise Miner and SAS Enterprise Guide.
• Interest in risk analytics and data mining.

Responsibilities

• Writing new fraud rules in a rule-based system.
• Developing, testing, and implementing new analytical models.
• Integrating fraud management tool with core banking system and enhancing processes.
• Creating inputs to fraud management tool with accurate and diverse data.
• Analyzing fraud cases in digital channels and payment systems with cards.
• Evaluating business processes in digital channels and payments for customer security and executing related projects.
• Monitoring fraud reports and new requirements.
• Reporting to Fraud Manager.

Skills

Strong communication

Programming language

English

Risk analytics

Data mining

Education

Bachelor's Degree in Engineering, Mathematics or Statistics

Tools

SAS Enterprise Miner

SAS Enterprise Guide

SQL

Job description

IBTECH A.S. in Istanbul offers a hybrid role focused on fraud analytics and risk intelligence. The position requires a Bachelor's degree in Engineering, Mathematics, or Statistics, plus experience in banking fraud prevention.

Responsibilities include designing and validating rule-based fraud detection, building and testing analytical models, and integrating fraud workflows with core banking systems. Strong English and SQL skills are expected.