Data Analyst – Fraud & Financial Crime

Summary

We are seeking an organized and self-motivated Data Analyst with deep expertise in causal inference, experimentation, and statistical research to work embedded in our Banking Foundations (Customer Risk Lifecycle) team, helping shape the development of one of the world's leading FinTech products.

This is a hybrid role from our Berlin offices.

About the opportunity

As a Data Analyst, you will enable our product and business segment (CRL - including focus on the AFC Operations function) in the Banking Foundations domain to make data-driven decisions. You will leverage your strong background in stats, research methods, and casual infernece/ experimental design to measure and evaluate the impact of your product teams’ initiatives, as well as help drive the overarching strategy of your business segment. You are here to establish a data-mindset and foster a culture of continuous learning and rigorous analytical thinking. You will work in a cross-functional setup, working closely with other analysts, engineers, designers, and product managers.

In this role, you will

Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities.

Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions.

Evaluate initiatives: Support Product experimentation & testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication.

Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product teams can interact with data and extract the right insights themselves.

Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs.

Improve data liter