Detecting Financial Crime
Your Typical Week
A typical week as a Data Analyst in the DFC department is a rewarding blend of challenges, teamwork, and independent work. It begins with a team catch-up to discuss updates, outline plans, and tackle obstacles.
You will dive into PySpark data analysis, designing new or improving existing models based on insights. Collaboration is key, so you will connect with data engineers and team members to understand model capabilities and data sources, leveraging your coding skills and statistical knowledge.
You will also guide business stakeholders in defining data analysis requirements and clarify available data to ensure alignment with business goals.
As the week progresses, you will transform your findings into clear, data-backed presentations for non-technical stakeholders, crafting narratives that inform and inspire decision-making.
Whether remote or in-office, you will engage in workshops and face-to-face team time, knowing your work significantly impacts business success.
Practical Examples of Your Work
⦁ Develop ideas, code, tests, and statistical analysis to provide data-driven answers to business expert questions, improving model landscapes or highlighting risks and inefficiencies.
⦁ Maintain relationships with stakeholders to understand business processes, production capabilities, and available resources, managing timelines and expectations independently.
⦁ Present results to business experts in a synthesized manner that fosters insights and collaborative strategies.