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Machine Learning Engineer

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Machine Learning Engineer in Others new

  • Shanghai, China

Responsibilities

  • Engage with business teams to identify opportunities, understand compliance requirements, and translate them into technical solutions.
  • Design data science approaches and develop custom algorithms for compliance problems.
  • Collaborate with engineers and platform architects to implement production real-time and batch compliance decisioning solutions.
  • Monitor production decision points for operational, regulatory, and business metric health.
  • Investigate emerging risk typologies and regulatory changes, identify behavior patterns, and update compliance logic.
  • Communicate analytical results to business partners and executives and identify opportunities to improve loss avoidance and customer experience.

Requirements

  • Education in a quantitative field such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
  • Practical experience and theoretical understanding of classification, regression, clustering, and anomaly-detection algorithms.
  • Working knowledge of SQL, relational databases, Hadoop, and Spark.
  • Ability to implement analytical pipelines and applications using a general-purpose language such as Python, Scala, Java, or Clojure.
  • Preferred experience with financial crimes compliance, including AML, KYC, sanctions screening, or transaction monitoring.
  • Preferred experience with model explainability, documentation, and auditability in regulated environments.
  • Ability to understand and debug complex systems integrations spanning toolchains and teams.
  • Ability to extract business insights from data and communicate concise, business-focused takeaways.
  • Creativity in engineering novel features and signals and pushing beyond existing tools and approaches.
  • Preferred experience with Splunk or similar log analytics tools.

Apple

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This i...

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