Data Analyst (Fraud Rule Writer Senior Specialist)

at ING

📍 Katowice, Poland

PLN 115,200-168,000 per year

SENIOR

✅ On-site

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Agile @ 4 BI @ 4 Fraud @ 4 HTML @ 4 JavaScript @ 4 Mathematics @ 6 Power BI @ 4 Python @ 6 SQL @ 4 Statistics @ 4

Details

ING Hubs Poland is hiring a Fraud Rule Writer to monitor trends, analyze data, and create rules in an application that protects end clients from fraud and cybercrime. The role involves cooperation with clients and teams across the ING Group, including teams in the Netherlands, Germany, Spain, Italy, Poland, Belgium, Australia, and Romania. The team works according to Agile methodologies, including Scrum and Kanban.

Responsibilities

Analyze fraudulent patterns and cybercrime to determine possible counteractions.
Prepare reports and statistics, especially regarding business rules.
Write rules that support the application in protecting end clients.
Create SQL queries and code in high-level programming languages.
Support and cooperate with clients.
Cooperate with alerts handlers, business analysts, developers, and other teams.
Monitor trends, analyze data, and create new rules in the application.

Requirements

Bachelor’s or master’s degree, or graduation in mathematics, informatics, physics, or a similar field.
Experience analyzing large data sets.
Basic knowledge of statistics and the ability to prepare statistical calculations.
Experience creating and optimizing SQL queries.
Knowledge of cybercrime threats, including phishing, malware, sociotechnical attacks, and skimming.
Basic programming knowledge and the ability to learn new languages and technologies.
Knowledge of regular expressions.
Familiarity with fuzzy logic.
Precision, attention to detail, and the ability to identify errors.
Ability to find creative and optimal solutions to problems.

Additional Qualifications

Knowledge of fraud detection systems in banking.
Ability to create simple work-automation tools using VBA or Python.
Knowledge of Power BI and dashboard creation.
Knowledge of HTML and JavaScript.
Ability to work independently, show initiative, and take responsibility.
Knowledge of Agile.
Fraud-related certifications such as CFE or ACAMS.

Benefits

Continuous professional development opportunities.
The opportunity to expand skills and pursue individual interests in a dynamic and collaborative environment.

The role naming convention in the global ING job architecture is “Fraud Rule Writer III”.