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Data Analyst Fraud Monitoring

at ABN AMRO

Back to all Python jobs
ABN AMRO logo
Investment Banking

Data Analyst Fraud Monitoring

at ABN AMRO

JuniorNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
€4,466 – €6,380 EUR

Currency: € (EUR)

City
Not specified
Country
Netherlands

Data Analyst Fraud Monitoring in ABN AMRO's Grid Channel Security team. You will work with fraud experts, data scientists and machine learning engineers to safeguard customers from fraud. You’ll analyze complex datasets to identify fraud trends across payment channels, and help transform insights into hypotheses and experiments to improve detection. You will bridge analytics with business stakeholders, contribute to dashboards and reporting, and support the team’s agile, hybrid working environment.

What are you looking for?

Data Analyst Fraud Monitoring

Amstelveen

Remove
Save

We ask

  • 2+ years
  • Excellent communication skills
  • Analytical skills

We offer

  • € 4.466 - € 6.380 pm
  • Excellent employment conditions
  • In charge of personal development

Why ABN AMRO?

  • Building a future proof bank
  • A diverse and inclusive culture
  • Extensive internal career opportunities

Data Analyst Fraud Monitoring

At a glance

Are you passionate about fraud detection and data analytics? Do you have the skills to cut through the noise and uncover the real signal in the data? Do you bring a statistical mindset to your analysis and turn insights into action? If so, we have the perfect role for you! 

Channel Security is seeking a Data Analyst to join our Fraud Monitoring team. In this role, you will be a technical expert and a strong contributor helping advance the analytics maturity of the team. You will play a pivotal role in leveraging the data to make impactful decisions about fraud prevention and detection. 

Your job

As a Data Analyst, in the Grid Channel Security, you will work together with fraud experts, data scientists and machine learning engineers to safeguard our customers from criminals. This includes threats such as phishing, account takeover, lost or stolen debit cards, e-commerce fraud, and more.  

You will be a vital bridge between our fraud experts and data science team, with your insights acting as catalysts for advancing our fraud detection strategies. In this role, you’ll also be responsible for understanding different types of frauds, connecting your knowledge to what’s happening on the ground and proposing solutions to tackle emerging threats. Alongside focused analysis, you will be collaborating with your colleagues to brainstorm how innovative data science solutions can help us stay one step ahead of criminals in the ongoing cat-and-mouse game.   

Working environment

Grid Channel Security within Corporate Information Security Office (CISO) 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. CISO is recognised as having an informal work atmosphere where everyone has a heart for their job and is prepared to help others.

Your profile

You are a proactive self-starter with a keen eye for data analysis questions. 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 these insights clearly to your colleagues and stakeholders.

Key Responsibilities:

  • Analyse complex datasets to extract actionable insights that strengthen fraud detection strategies;
  • Identify fraud trends across multiple payment channels;
  • Partner with data scientists to transform insights into hypotheses and experiments to improve fraud detection.
  • Fostering the collaboration between data scientists and business experts;
  • Proactively look for and drive improvements in our analytics. Including; reporting, dashboarding and data driven decision making.

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’ experience as a Data Analyst or in a similar role;
  • Proficiency in data analysis tools and software, experience and exposure to at least 3 from the list below:
    • SQL (must have)
    • Python (must have)
    • Databricks / Snowflake, or other Cloud analytics environments
    • MS Power Bi, Tableau, Google Looker
    • Pyspark and Apache Hive
    • No-SQL technologies (Mongo DB, ElasticSearch or similar)
    • Knowledge of financial fraud (nice to have)
    • 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;
  • A Technical Expert with strong analytical skills and experience in applying statistical techniques to real-world business problems;
  • A Problem Solver who thrives on tackling complex challenges and delivering actionable insights;
  • Experience and understanding of Scrum and Agile methodologies, with the ability to apply these frameworks effectively in project management and team collaboration;
  • Ability to maintain accuracy and thoroughness in work, ensuring that documentation, data analysis, and project deliverables are thoroughly reviewed and free of errors.  

We are offering

  • Flexibility in a hybrid work environment to support strong work-life balance;
  • An industry-competitive salary based on a 36 or 40-hour work week;
  • A supplementary benefit budget of 11%, which you can spend on pre-tax fringe benefits;
  • A personal development budget of EUR 1.000 per year;
  • An annual public transportation pass;
  • A solid pension plan.  

Interested?

Does this opportunity sound like something you’d be interested in? Please send us your application as soon as possible. We look forward to meeting you.

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 of being a personal bank in the digital age aligns 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.

Disclaimer external recruitment agencies

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.

Who are your colleagues?

The career of Aaron Kieboom

"There are always new systems and technologies we can apply in our work. We are constantly innovating, and that allows me to keep on challenging myself."

Read the story

Aaron Kieboom
Software developer

What does your application procedure look like?

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1 Apply online

2 CV selection and feedback

Apply for this job

At ABN AMRO, you work wherever you want

This is how we handle hybrid working.

Data Analyst Fraud Monitoring

at ABN AMRO

Back to all Python jobs
ABN AMRO logo
Investment Banking

Data Analyst Fraud Monitoring

at ABN AMRO

JuniorNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
€4,466 – €6,380 EUR

Currency: € (EUR)

City
Not specified
Country
Netherlands

Data Analyst Fraud Monitoring in ABN AMRO's Grid Channel Security team. You will work with fraud experts, data scientists and machine learning engineers to safeguard customers from fraud. You’ll analyze complex datasets to identify fraud trends across payment channels, and help transform insights into hypotheses and experiments to improve detection. You will bridge analytics with business stakeholders, contribute to dashboards and reporting, and support the team’s agile, hybrid working environment.

What are you looking for?

Data Analyst Fraud Monitoring

Amstelveen

Remove
Save

We ask

  • 2+ years
  • Excellent communication skills
  • Analytical skills

We offer

  • € 4.466 - € 6.380 pm
  • Excellent employment conditions
  • In charge of personal development

Why ABN AMRO?

  • Building a future proof bank
  • A diverse and inclusive culture
  • Extensive internal career opportunities

Data Analyst Fraud Monitoring

At a glance

Are you passionate about fraud detection and data analytics? Do you have the skills to cut through the noise and uncover the real signal in the data? Do you bring a statistical mindset to your analysis and turn insights into action? If so, we have the perfect role for you! 

Channel Security is seeking a Data Analyst to join our Fraud Monitoring team. In this role, you will be a technical expert and a strong contributor helping advance the analytics maturity of the team. You will play a pivotal role in leveraging the data to make impactful decisions about fraud prevention and detection. 

Your job

As a Data Analyst, in the Grid Channel Security, you will work together with fraud experts, data scientists and machine learning engineers to safeguard our customers from criminals. This includes threats such as phishing, account takeover, lost or stolen debit cards, e-commerce fraud, and more.  

You will be a vital bridge between our fraud experts and data science team, with your insights acting as catalysts for advancing our fraud detection strategies. In this role, you’ll also be responsible for understanding different types of frauds, connecting your knowledge to what’s happening on the ground and proposing solutions to tackle emerging threats. Alongside focused analysis, you will be collaborating with your colleagues to brainstorm how innovative data science solutions can help us stay one step ahead of criminals in the ongoing cat-and-mouse game.   

Working environment

Grid Channel Security within Corporate Information Security Office (CISO) 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. CISO is recognised as having an informal work atmosphere where everyone has a heart for their job and is prepared to help others.

Your profile

You are a proactive self-starter with a keen eye for data analysis questions. 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 these insights clearly to your colleagues and stakeholders.

Key Responsibilities:

  • Analyse complex datasets to extract actionable insights that strengthen fraud detection strategies;
  • Identify fraud trends across multiple payment channels;
  • Partner with data scientists to transform insights into hypotheses and experiments to improve fraud detection.
  • Fostering the collaboration between data scientists and business experts;
  • Proactively look for and drive improvements in our analytics. Including; reporting, dashboarding and data driven decision making.

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’ experience as a Data Analyst or in a similar role;
  • Proficiency in data analysis tools and software, experience and exposure to at least 3 from the list below:
    • SQL (must have)
    • Python (must have)
    • Databricks / Snowflake, or other Cloud analytics environments
    • MS Power Bi, Tableau, Google Looker
    • Pyspark and Apache Hive
    • No-SQL technologies (Mongo DB, ElasticSearch or similar)
    • Knowledge of financial fraud (nice to have)
    • 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;
  • A Technical Expert with strong analytical skills and experience in applying statistical techniques to real-world business problems;
  • A Problem Solver who thrives on tackling complex challenges and delivering actionable insights;
  • Experience and understanding of Scrum and Agile methodologies, with the ability to apply these frameworks effectively in project management and team collaboration;
  • Ability to maintain accuracy and thoroughness in work, ensuring that documentation, data analysis, and project deliverables are thoroughly reviewed and free of errors.  

We are offering

  • Flexibility in a hybrid work environment to support strong work-life balance;
  • An industry-competitive salary based on a 36 or 40-hour work week;
  • A supplementary benefit budget of 11%, which you can spend on pre-tax fringe benefits;
  • A personal development budget of EUR 1.000 per year;
  • An annual public transportation pass;
  • A solid pension plan.  

Interested?

Does this opportunity sound like something you’d be interested in? Please send us your application as soon as possible. We look forward to meeting you.

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 of being a personal bank in the digital age aligns 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.

Disclaimer external recruitment agencies

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.

Who are your colleagues?

The career of Aaron Kieboom

"There are always new systems and technologies we can apply in our work. We are constantly innovating, and that allows me to keep on challenging myself."

Read the story

Aaron Kieboom
Software developer

What does your application procedure look like?

","nextArrow":"
"}},{"breakpoint":992,"settings":{"slidesToShow":1.5,"draggable":false,"dots":false,"autoplay":false,"rows":1,"variableWidth":true,"useTransform":true,"arrows":true,"prevArrow":"
","nextArrow":"
"}},{"breakpoint":768,"settings":{"slidesToShow":2.5,"draggable":false,"dots":false,"autoplay":false,"rows":1,"variableWidth":true,"useTransform":true,"arrows":true,"prevArrow":"
","nextArrow":"
"}},{"breakpoint":0,"settings":"unslick"}]}" data-initialized="true">

1 Apply online

2 CV selection and feedback

Apply for this job

At ABN AMRO, you work wherever you want

This is how we handle hybrid working.

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