Develop forward-looking risk control strategies based on data-driven decisions, drive the improvement and upgrade of product safety mechanisms, and be responsible for the effectiveness of risk solutions.
Collaborate with tech teams to build and improve risk perception, identification, intervention, and governance measurement systems; design scalable risk control products and services that support various business lines.
Engage with various business, operation, algorithm, and security/risk stakeholders to solve risk problems at scale.
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Responsible for building and maintaining data products.
Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
Undergraduate or Postgraduate who is currently pursuing a Degree/Masters in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
Partner closely with cross-functional teams including engineering, data science, operations, and policy to support project execution, stakeholder alignment, rollout coordination, and post-launch review across complex initiatives.
Able to commit to working for 4/5 days a week for at least 6 months
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Design and build supporting/debugging tools as needed.
Support the production of scalable and optimised AI/machine learning (ML) models.
Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
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Policy & Process Updates: Stay informed on the latest policy and process changes. Proactively adapt to new requirements and integrate them into day-to-day workflows.
Currently pursuing or recently completed a Bachelor’s degree.
Proficiency in English and Bahasa Indonesia is required to communicate with key stakeholders based in the Indonesian market.
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