Fraud Analyst

PAYLA; Dortmund; Remote; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

A leading company in the financial sector is seeking a Fraud Analyst to join their dynamic Fraud Prevention Team. The role involves conducting transaction reviews, enhancing fraud detection rules, and collaborating with various stakeholders. Candidates should have a Bachelor's degree and experience in data analysis, with skills in SQL and data visualization tools. The company offers a flexible work environment, 30 days of paid vacation, and a supportive team culture.

Leistungen

30 days paid vacation per year

Supportive team environment

Flexible work environment

Start-up spirit with focus on results

Qualifikationen

• At least 1 year of experience in data-driven analysis.
• Knowledge of anti-fraud tools is a plus.
• Excellent verbal and written communication skills in English.

Aufgaben

• Conduct daily transaction reviews to detect and mitigate suspicious activity.
• Generate analysis of transaction activity and payment behavior using BI tools.
• Create and deliver comprehensive reports to senior management.

Kenntnisse

Data analysis

SQL

Problem-solving

Communication

Multi-tasking

Ausbildung

Bachelor's degree in finance, economics, or related field

Tools

Tableau

Databricks

Jobbeschreibung

Payla operates a cutting-edge Buy Now, Pay Later platform tailored for Payment Providers and Financial Institutions. We empower our partners to deliver seamless invoice and installment payment solutions, meeting the increasing demand for fast and frictionless transactions.

On this journey, we tackle exciting challenges in areas like risk management, payment processing, and accounts receivable management—all while prioritizing an exceptional customer experience. If you’re passionate about being part of an innovative and dynamic environment and eager to collaborate on shaping the future with us, your next opportunity is here!

Join our team! We’re excited to welcome a Fraud Analyst (all genders) to our expanding Fraud Prevention Team.

What you will do :

• Conduct daily transaction reviews to detect, prevent, and mitigate suspicious activity, escalating issues to relevant teams
• Action alerts, cases and monitor the performance of existing rules and quickly implement new strategies to mitigate emerging fraud threats.
• Use data analysis, testing, and performance tracking to enhance fraud detection rules, optimizing their effectiveness and minimizing false positives.
• Assist with ad hoc fraud and payment escalations, investigations, and transaction inquiries
• Generate analysis of transaction activity and payment behaviour using Excel, Tableau or any other BI tools
• Create and deliver comprehensive reports to senior management and business stakeholders
• Work closely with internal and external stakeholders such as Finance, Customer Support, Product, IT, and 3rd party providers.

Job requirements

What you will bring to the team :

• Bachelor's degree in finance, economics, or a related field
• At least 1 year of experience in a role that required data-driven analysis
• Skilled in SQL and experience with at least one data visualization tool (Tableau, Databricks, etc.)
• Knowledge of anti-fraud tools is a plus
• Ability to effectively interpret data and identify patterns and trends using analytical and problem-solving skills
• Extensive multi-tasking and prioritization skills – needs to excel in fast paced environment with frequently changing priorities
• Excellent verbal and written communication skills in English, German is a plus
• Having knowledge of Python, R or other scripting languages is a plus

What Payla offers :

• Team : An encouraging, passionate and supportive team environment
• Flexibility : We will create a professional work environment for you at your remote location
• Vacation : 30 days paid per year
• Start-up Spirit : Exciting challenges from Day 1 with focus on results, mixed with less hierarchy and less meetings (as well as less bullshit-bingo)
• The gross annual salary depends on your experience and qualification