Fraud Prevention Data Analyst - Hybrid Role

Yapı Kredi Teknoloji; İzmit; Hybrid; TRY 240,000 - 420,000; Full time

Benefits offered by this job

Hybrid model

Koç Group Community offices

Structured technology career path

BizClub and KoçAilem privileges

Company-contributed retirement保险

Birthday off day

Job summary

Yapı Kredi Technology is actively seeking a fraud analytics specialist to analyze extensive datasets, detect evolving fraud patterns, and support the deployment of fraud prevention rules across banking systems. The role emphasizes data-driven scoring models, data quality, and security improvements across channels and payment solutions.

The ideal candidate has a quantitative degree, 3+ years in related roles, and strong SQL and English skills.

Qualifications

• Bachelor's Degree in a highly quantitative field such as Engineering, Economics, Mathematics, Econometrics or Statistics.
• 3+ years of experience in fields such as Business Analyst, Fraud Analyst, Data Analyst/Analytics, Payment Systems owner in banking, financial services, or technology projects.
• Hands‑on experience with third‑party fraud prevention tools and their integration into banking systems.
• Knowledge of professional business analysis best practices across development life cycle and managing projects.
• Advanced knowledge of SQL.
• Good command of written and oral English.
• Strong communication and teamwork skills.
• Strong, creative and innovative problem‑solving skills, adaptable, proactive and always willing to take ownership.
• Dedicated working hard to finish tasks on‑time with high quality.

Responsibilities

• Performing analyzes on extensive data to detect changing, differentiated & formed fraud cases.
• Supporting the creation of fraud prevention rules on Fraud Systems by using data analytics methods.
• To undertake the task of creating inputs to scoring models by ensuring the accuracy and diversity of the data used.
• To identify possible procedural and logical security gaps that may occur in the infrastructures of all channels and payment systems of the bank and to carry our studies to prevent the occurrence of the gaps.
• Analyzing business processes in channels and payment systems in terms of transaction security, executing projects on this subject and giving opinions.
• Taking proactive measures for transaction security by following domestic and international trends in security.
• Analyze business requirements and translate them into technical specifications,
• Work closely with third-party fraud prevention tools and ensure they are always up to date.

Skills

SQL

English

Data analytics

Fraud analytics

Business analysis

Communication

Teamwork

Problem solving

Education

Bachelor's degree in quantitative field

Tools

Fraud prevention tools

Job description

Yapı Kredi Technology is actively seeking a fraud analytics specialist to analyze extensive datasets, detect evolving fraud patterns, and support the deployment of fraud prevention rules across banking systems. The role emphasizes data-driven scoring models, data quality, and security improvements across channels and payment solutions.

The ideal candidate has a quantitative degree, 3+ years in related roles, and strong SQL and English skills.