Responsibilites Explore the data landscape: profile on-chain, off-chain, fiat and KYC datasets to understand structures, gaps and lineage. Prototype features for ML & rules: translate typologies and investigator hypotheses into measurable candidate variables (e.g., velocity, counterparty risk scores, graph metrics) using SQL/Python and big data. Validate data quality & drift: run one-off QC checks, anomaly detection and basic stratified sampling to confirm a feature’s stability before production hand-off. Collaborate with modelers & investigators: iterate quickly on feature definitions, and refine logic based on model performance and investigative feedback. Maintain a living feature catalogue: version each prototype, capture business meaning, lineage and sample metrics so production data engineers can industrialize it. Support regulatory look-backs & ad-hoc research: replay historical data, craft quick queries and surface insights that help Compliance and Compliance Product teams respond to audits or enforcement actions. Stay current: monitor emerging AML data-science techniques (graph ML, LLM embeddings, anomaly detection) and assess their applicability to crypto and fiat monitoring. Requirements: 4+ years in data engineering / analytics with hands-on feature-engineering and exploratory data analysis; AML or broader compliance experience is a plus. Expertise in SQL and Python (Pandas, PySpark, or similar) within notebook workflows, plus hands-on experience with big data stacks such as Spark/Hadoop, Databricks and Alibaba DataWorks Working experience in banking domain Solid grounding in machine-learning fundamentals (supervised, unsupervised, evaluation metrics) and how features impact model performance. Experience translating AML / regulatory concepts into quantitative features—e.g., structuring, layering, sanctions exposure. Ability to work collaboratively in a fast-paced, dynamic environment. Optional skills: Working knowledge of the crypto ecosystem, VASP regulations, and typical AML data flows (KYT, KYC, TM, case management). Qualifications: Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred. Minimum 5 years of experience in a similar role. #J-18808-Ljbffr VUI SYSTEMS PTE. LTD.
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...Participate in other projects as requested. Requirements: Bachelors degree in Finance, Economics, Business, or a related field; MBA or advanced degree preferred. At least 10 years of experience in DCM, with a successful track record of generating $2 -$3 million...
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Job Opportunity At Synergisticit For 15 years SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.
...including Certified Technical Architect (CTA). Visit us here ( ) to find out more about Accenture's Salesforce practice.You AreA Mulesoft Developer Consultant with a keen eye for problem solving. You work with project teams to identify and analyze clients requirements and...