AML and Data Science Sr Associate
Description:
A leading financial consulting firm is seeking a strategic and hands-on analytics leader to join our Data & Analytics team. In this role, you'll lead high-impact projects that leverage advanced data science techniques to solve complex business problems across industries. You'll be responsible for guiding teams, managing client expectations, and delivering production-ready solutions that drive measurable outcomes. Prior exposure to financial crimes or anti-money laundering is preferred, but not required. Candidates must have a strong technical background, and an advanced knowledge of Python, SQL, and Machine Learning techniques.
Key Responsibilities:
- Lead work streams focused on AML and sanctions technology implementations, data analysis, and process automation.
- Apply critical thinking to unstructured problems and deliver insights using statistical and machine learning techniques.
- Collaborate with cross-functional teams to design and optimize compliance systems, including data mapping, profiling, and tuning.
- Communicate findings clearly through data visualization tools and structured reporting.
- Mentor junior team members and contribute to knowledge sharing and proposal development.
Qualifications:
- Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Statistics, Economics).
- 3+ years of experience in financial crime compliance, data analytics, or technology consulting.
- Proficiency in tools such as Python, R, or SAS; familiarity with AML platforms (e.g., Actimize, FircoSoft) and RPA tools (e.g., UiPath, Automation Anywhere).
- Strong communication skills and the ability to manage client relationships and project deliverables.
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