Data Analyst - Fraud Monitoring

ABN AMRO Bank N.V.; Amstelveen; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Gross monthly salary (36h)

Excellent pension

Work from home flexibility

Five weeks vacation + 2 days off

Buy up to four additional weeks of vac

Banking for better days: 5 extra days

Development budget €1,000 per year (up

€3,000 max

Annual public transport pass

Job summary

ABN AMRO Bank N.V. in Amstelveen invites a Data Analyst to join Fraud Monitoring, focusing on deep-dive analyses, fraud patterns, and strengthening detection logic; you will collaborate with Fraud Experts, Data Analysts, and Data Scientists to protect customers.

The role emphasizes analytical rigor, statistical thinking, and mentoring colleagues; you’ll help translate insights into production improvements, with hybrid working and a strong emphasis on data-driven decisions.

Qualifications

• Master's degree in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics)
• At least 2 years of experience in an analytical role involving hands-on data exploration, problem solving, and interpretation

Responsibilities

• Analytical Excellence: perform in-depth analyses to understand fraud patterns, attack vectors, seasonality, behavioural shifts, and detection performance across payment channels
• Evaluate strength of proposed detection logic and identify when ideas are overly narrow, unsupported by evidence, or prone to false positives
• Assess the value and reliability of data fields and signals used in fraud detection
• Help ensure reasoning, conclusions, and decisions are analytically sound and well-supported
• Coach colleagues on interpreting data responsibly, avoiding analytical pitfalls, and understanding basic statistical concepts
• Promote a culture of analytical rigor — more mature, data-driven ways of working
• Partner with Data Scientists to transform insights into hypotheses, experiments, and feature ideas for model development
• Bridge between domain and technical experts to ensure clear understanding
• Be decisive in bringing data-driven insights to production to safeguard customers
• Identify opportunities to improve measurement of fraud impact, effectiveness of controls and operational efficiency

Skills

SQL

Python

PySpark

Data visualization

English communication

Critical thinking

Team mentoring

Agile/Scrum

Education

Master's degree in a quantitative field

Job description

At a glance

Are you passionate about both advanced analytics and fraud detection? Do you have the expertise to instil the statistical thinking in team’s way of working? If so, we have the perfect role for you!

Channel Security is seeking a Data Analyst to join our team; Fraud Monitoring. In this role, you will be a technical expert and a strong individual contributor who will bring the analytics maturity in a team with a business-driven background. You will serve as an important pillar for improving analytics standards and help shape the way we use data to make impactful decisions in protecting our customers.

Your job

As a Data Analyst within the Fraud Monitoring team, you will play a central role in ensuring that our analysis and detection logic are grounded in solid reasoning and supported by evidence. You will work closely with Fraud Experts (FEs), Data Analysts, and Data Scientists to strengthen our fraud detection capabilities to catch frauds such as phishing, account takeover, scams, and other emerging threats.

Your work focuses on deep‑dive analysis, understanding fraud behaviour, evaluating the effectiveness of detection logic, and validating whether proposed changes are analytically sound. You will help the team distinguish clear signals from noise, recognise when evidence is insufficient, and ensure our decisions are based on robust data rather than anecdotal cases.

This is a hands‑on analytical role with significant influence: your insights and your methodological judgment will directly shape how we detect fraud and protect our customers.

Working environment

Grid Channel Security is responsible for the prevention and detection of payment fraud and deciding the policy and strategy in the area of fraud. The Fraud Monitoring team that you are going to be part of, is a motivated multidisciplinary group working with a focus on protecting customers. We work in a hybrid way and our day-to-day work is organized by the agile and scrum principles.

Your profile

You are a proactive self-starter with a keen eye for data analysis questions. You don’t need to be told what to do. Instead, you’ll look for insights people haven’t thought of yet before or didn’t have the time or skills (yet) to succeed. You are able to present the insights and have a strong capability of mentoring your colleagues in doing the same.

Key Responsibilities:

• Analytical Excellence
• Perform in‑depth analyses to understand fraud patterns, attack vectors, seasonality, behavioural shifts, and detection performance across payment channels.
• Evaluate the strength of proposed detection logic (features, thresholds, rules) and identify when ideas are overly narrow, unsupported by evidence, or prone to false positives.
• Assess the value and reliability of data fields and signals used in fraud detection.
• Help ensure our reasoning, conclusions, and decisions are analytically sound and well‑supported.

Methodological Leadership:

• Coach colleagues on interpreting data responsibly, avoiding common analytical pitfalls, and understanding basic statistical concepts such as variance, sample bias, and signal strength.
• Promote a culture of analytical rigor — ensuring the team adopts more mature, data‑driven ways of working.

Collaboration & Impact:

• Partner with Data Scientists to transform analytical insights into hypotheses, experiments, and feature ideas for model development.
• Act as a bridge between domain experts and technical experts, ensuring clear understanding on both sides.
• Be decisive in bringing data driven insights to production system to maximize the impact in safeguarding customers.
• Identify opportunities to improve how we measure fraud impact, effectiveness of controls, and operational efficiency.

Qualifications and technical skills:

• A master’s degree in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics, or similar).
• At least 2 years of experience in an analytical role involving hands‑on data exploration, problem solving, and interpretation (e.g., data analyst, fraud analyst, risk analyst, business analyst with strong technical skills, data scientists in analytical track).

Technical skills:

• Strong SQL skills for exploratory analysis and investigation.
• Hands‑on experience in Python for data analysis.
• PySpark or experience working with large datasets.
• Basic familiarity with visualization tools for communication — not for dashboard engineering.
  • Ability to frame analytical questions, interpret results correctly, and identify flawed logic or insufficient evidence.
  • Familiarity with basic statistical concepts (e.g., distributions, variance, seasonality, sampling, simple backtesting principles).
  • Excellent written and verbal communication skills in English.
  • Ability to work independently and as part of a team.

About you:

• You are an energetic Firestarter, proactively looking for and finding relevant data analysis questions.
• Strong critical thinking and the confidence to challenge weak assumptions.
• Ability to clearly articulate reasoning, uncertainties, and trade-offs.
• A Teacher and Mentor with a deep passion for upskilling and helping your fellow team members grow their analytical capabilities, especially guiding them to adopt statistical rigor during their analytical work.
• Experience and understanding of Scrum and Agile methodologies, with the ability to apply these frameworks effectively in project management and team collaboration.

We are offering

We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.

In addition, we offer:

• An attractive gross monthly salary based on a 36-hour work week, including holiday allowanceand a flexible benefit budget.
• An excellent pension scheme, ensuring that you are well prepared for the future.
• Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
• Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
• Five “Banking for better days”: extra days off that you can use for personal development or volunteer work.
• Personal development is key: you receive a development budget of €1,000 per year, which can accumulate up to €3,000.
• An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.

You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.

Your Future: Inclusive, Innovative, Sustainable

At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision ofbeing a personal bank in the digital agealigns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.

If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.

Use of AI in our application process

You’re welcome to use AI to help write your CV or cover letter, as long as it reflects your own story. We review every application personally and without AI. During interviews, real time AI tools may not be used. With your permission, interviews can be recorded and supported by AI. This helps us keep the process fair, careful, and transparent.