Data-Driven Compliance Expert
4 days ago
To succeed in this role, you will need:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 7+ years of experience in data science, machine learning, or analytics, preferably in the financial services or banking sector.
- Proven experience in AML, fraud detection, or financial crime prevention is essential.
- Proficiency in programming languages such as Python, R, or Scala.
- Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
- Advanced SQL skills for data extraction, manipulation, and analysis.
- Familiarity with graph analytics and network analysis for link-based detection of suspicious activities.
- Knowledge of AML-related tools and platforms (e.g., Actimize, SAS AML, or similar) is a plus.
In addition, you should have:
- Comprehensive understanding of AML regulations, including FATF recommendations, KYC, and customer due diligence processes.
- Experience working with unstructured data and developing Natural Language Processing (NLP)-based solutions for text-based analysis, such as sanctions screening.
- Expertise in building and evaluating predictive models, anomaly detection algorithms, and segmentation techniques.
- Strong analytical skills with the ability to interpret and explain complex data patterns.
You should also possess excellent communication and presentation skills, with the ability to convey technical findings to non-technical stakeholders effectively, as well as strong collaboration skills and the ability to work efficiently in cross-functional teams.
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