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Working with one of our top financial clients, this role calls for a Sr Data Scientist/Data Engineer-AML.

Responsibilities

Conduct analytical activities related to AML transaction monitoring systems Independently design, support, and optimize technical data management solutions for various projects Perform data quality assessments on raw and curated data within Oracle and Azure platforms Support customer segmentation, scenario threshold setting, and model performance monitoring Maintain structured documentation to demonstrate compliance and audit readiness Execute quality control procedures to review interim monitoring solutions, identify gaps, and assist in future state implementations Collaborate with internal teams to identify improvement opportunities and provide data-driven insights for strategic decision-making Engage in activities involving large-scale datasets for data exploration and analysis

Desired Skill-Set

Expert-level proficiency in Python and SQL Advanced skills in query optimization, debugging, and automation techniques Strong experience working with large datasets and performing data exploration Ability to apply statistical methods and data mining tools to practical business problems Proven experience in data-driven or data-centric projects Excellent communication and collaboration skills Ability to adapt to changing priorities and multitask effectively

Nice to Have

Experience with SAS, Informatica, Tableau, or other analytics tools Knowledge of AML and fraud detection systems

BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.

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