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American Express
American Express
B2BBankininkystėFinansai
„American Express“ yra pasaulinė finansinių paslaugų įmonė, veikianti bankininkystės, finansavimo ir verslo mokėjimų srityse. Jos veikla apima vartotojams, įmonėms ir korporacijoms skirtas kredito korteles, mokėjimų ir prekybininkų paslaugas, taupomąsias sąskaitas, terminuotuosius indėlius ir asmenines paskolas, taip pat apdovanojimų ir kelionių programas, įmonių mokėjimo sprendimus, finansinį švietimą, saugumo paslaugas bei pagalbą kortelių nariams ir prekybininkams.
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Darbai įmonėje

Compliance Manager, AI and Machine Learning

Lead compliance analytics and apply AI, machine learning, generative AI, and data science to regulatory risk engagements at American Express. Oversee models, datasets, compliance insights, and delivery.

INIndijaHibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųAtitiktis
ApacheAWSDebesijaHadoopJavaKafkaPaskirstytosios sistemosPythonPyTorchSparkSQLUnix

Aprašymas

  • Lead analytics work and deliver insights across multiple compliance engagements.
  • Build an analytics, AI, and machine learning operating model for the compliance function.
  • Work with business owners and Line of Business Compliance partners to identify regulations, risks, and controls.
  • Plan, oversee, and document analytics deliverables.
  • Report engagement progress to Compliance Management and escalate significant issues.
  • Record analytics findings on compliance gaps and store resulting datasets appropriately.
  • Improve the compliance organization’s data landscape for testing and reporting, maintaining data quality and timely delivery.
  • Develop, govern, deploy, and continuously improve AI, machine learning, and natural language processing models across business scenarios.
  • Design and implement advanced generative models using large language models.
  • Build software from start to finish and take ownership of deliverables.
  • Research developments in generative AI and large language models.
  • Build and maintain generative AI code libraries, tools, and frameworks.
  • Review code and uphold code quality standards.
  • Contribute throughout the software development lifecycle, from design to testing, deployment, and maintenance.
  • Support the organization’s Director.

Reikalavimai

  • Bachelor’s degree.
  • Six to eight years of industry experience.
  • Four years of experience applying machine learning, data science, and big data technologies.
  • Experience developing AI and machine learning analytics applications, such as online travel agency systems, predictive maintenance, and recommendation systems.
  • Practical experience with AI technology stacks, toolchains, data collection, synthetic data, and simulators, including PyTorch, Kafka, Apache Spark, Python, and Java.
  • Experience with MLOps and cloud machine learning platforms such as SageMaker and Databricks.
  • Working knowledge of laws, rules, and regulations governing American Express businesses.
  • Demonstrated ability to lead others effectively.
  • Strong analytical skills for identifying compliance issues and root causes and developing operational solutions.
  • Experience with production-grade machine learning workflows.
  • Strong presentation and project management skills.
  • Experience using SQL, Hive/HQL, Python, Jupyter notebooks, Spark, and databases, including the ability to work with large datasets.
  • Familiarity with Hadoop and big data environments.
  • Teradata and UNIX experience is preferred.
  • IBM mainframe knowledge is preferred but not required.
  • Proficiency in statistical methods and analysis.
  • Strong knowledge of machine learning algorithms, especially generative models, natural language processing, and computer vision.
  • Familiarity with cloud computing and distributed systems, particularly AWS or Google Cloud.
  • Successful completion of a background verification check.

Privalumai

  • Competitive base salary.
  • Bonus incentives.
  • Support for financial well-being and retirement.
  • Medical, dental, vision, life insurance, and disability coverage, depending on location.
  • Flexible hybrid, onsite, or virtual working arrangements, depending on the role and business needs.
  • Generous paid parental leave, depending on location.
  • Free access to onsite wellness centers staffed by nurses and doctors, depending on location.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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