Senior Data Analyst

At a glance

Are you passionate about both advanced analytics and empowering others to grow in their analytical capabilities? Do you have the expertise to lead by example while fostering a culture of statistical thinking? If so, we have the perfect role for you!

Channel Security is seeking a Senior Data Analyst to join our team;
Fraud Monitoring. In this role, you will not only be a technical expert and a strong individual contributor but also a key leader in advancing the analytics maturity of a team with a business-driven background. You will serve as a pillar for analytics standards and help shape the way we use data to make impactful decisions.

As a Senior 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.

As a pivotal member of our team, you will dive into diverse and complex datasets to extract actionable insights that drive our fight against financial fraud. Your work will involve understanding fraud trends across various payment channels, assessing the potential of various data fields to enhance detection capabilities, recognizing seasonal patterns, and creating reliable forecasts. 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 educating fraud experts on the data analysis domain, empowering them with the knowledge and tools they need to stay ahead of emerging threats. Alongside focused analysis, you will be collaborating with colleagues to brainstorm how innovative data science solutions can help us stay one step ahead of criminals in the ongoing cat-and-mouse game.

ABN AMRO is a future driven bank that is working continuously on unlocking the power of data: you will be part of this transformation!

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 of approximately 25 colleagues 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.

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.

• Conduct hands-on data analysis to support business as usual activities, track key departmental KPIs and to develop new insight into fraud patterns.
• Design and deliver training sessions, workshops, and one-on-one coaching to enhance analytical skills across the team.
• Partner with leadership to identify opportunities for leveraging data to achieve strategic goals.
• 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.

• A master’s degree in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics, or similar).
• At least 3 years’ experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools and software, experience and exposure to at least 4 from the list below:
  • SQL (must have)
  • Python (must have)
  • Databricks / Snowflake, or other Cloud analytics environments.
  • MS…