Machine Learning Engineer
Core
Design data science approaches and develop custom algorithms for compliance problems, implementing production real-time and batch decisioning solutions.
Role type
Machine Learning Engineer (Compliance)
Builds
Production real-time and batch compliance decisioning solutions
Domain
Financial services / Regulatory compliance
Deliverable
production ML models
Required skills
Classification algorithms, Regression algorithms, Clustering algorithms, Anomaly-detection algorithms, SQL, Relational databases, Hadoop, Spark, Python, Scala, Java, Clojure
Preferred skills
Financial crimes compliance (AML, KYC, sanctions screening, transaction monitoring), Model explainability, Documentation, Auditability, Log analytics (Splunk)
Responsibilities
Engage with business teams to identify opportunities and understand compliance requirements, Design data science approaches and develop custom algorithms for compliance problems, Collaborate with engineers and platform architects to implement production solutions, Monitor production decision points for operational and regulatory health, Investigate emerging risk typologies and regulatory changes, Communicate analytical results to business partners and executives
