About the role
AI summarisedThis is a data scientist role within the Group Legal, Compliance & Secretariat function at a bank. The associate will apply data science techniques to support compliance initiatives, including AML and KYC, by developing models and analyzing data to enhance regulatory processes.
BusinessFull-timeGeneral
Key Responsibilities
- Develop and implement machine learning models to detect suspicious transactions and patterns related to money laundering and other financial crimes.
- Analyze large datasets to identify trends, anomalies, and insights that support compliance and regulatory requirements.
- Collaborate with legal and compliance teams to understand business needs and translate them into data-driven solutions.
- Design and maintain dashboards and reports to monitor key compliance metrics and model performance.
- Conduct statistical analysis and data mining to improve the effectiveness of AML and KYC processes.
- Stay updated on regulatory changes and emerging technologies to continuously enhance data science capabilities within the group.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Proven experience in data science, machine learning, and statistical modeling, preferably in a financial services or compliance context.
- Strong proficiency in Python and SQL for data manipulation and analysis.
- Experience with data visualization tools such as Tableau or Power BI.
- Knowledge of AML, KYC, and regulatory compliance frameworks is highly preferred.
- Excellent problem-solving skills and ability to work with complex datasets.
- Strong communication skills to present findings to non-technical stakeholders.
- Ability to work collaboratively in a team environment and manage multiple priorities.