Data Engineer - AML/KYC
VUI SYSTEMS PTE. LTD.
5 days ago
Posted date5 days ago
N/A
Minimum levelN/A
Responsibilites
Requirements:
Qualifications:
- 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.
JOB SUMMARY
Data Engineer - AML/KYC
VUI SYSTEMS PTE. LTD.
Singapore
5 days ago
N/A
Contract / Freelance / Self-employed
Data Engineer - AML/KYC