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Backend Developer

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Onsite

Backend Developer

Webot

Backend Developer

Skills

Big DataPythonGolangMySQLKafkaRedisMachine LearningElasticsearchHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

14 August 2026

What they need


Backend Engineer - Risk Control System

Job Responsibilities:

  • Responsible for the design, development, and optimization of the company's risk control system to achieve efficient and stable risk monitoring and prevention mechanisms.
  • Participate in building a real-time risk control engine, including the development of risk control rules, model calculations, anti-fraud detection, and other functionalities.
  • Design and optimize data collection, cleaning, and computation processes to enhance data processing capabilities.
  • Develop risk control strategy management tools based on business needs to improve the flexibility and adjustability of risk control strategies.
  • Continuously monitor system performance, optimize system efficiency, and ensure high availability and low latency.

Job Requirements:

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, FinTech, or related fields.
  • At least 1 year of backend development experience; experience in risk control systems, payment systems, or anti-fraud systems is preferred.
  • Proficient in at least one backend programming language (e.g., Go, Python) with strong coding practices.
  • Familiar with middleware such as MySQL, Kafka, Redis, and Elasticsearch.
  • Strong teamwork, logical thinking, and problem-solving skills, with the ability to drive cross-department collaboration efficiently.

Preferred Qualifications (Bonus Points):

  • Experience in developing risk control systems related to banking, or internet finance .
  • Hands-on experience with big data or stream processing systems (e.g., Kafka, Flink, Spark, Hadoop).
  • Practical experience in machine learning or statistical analysis , with familiarity in risk control rule engines and real-time computation technologies.
  • Experience in risk control strategy design and data modeling , with the ability to support business teams in formulating risk control strategies.
  • Experience in high-concurrency systems , with knowledge of distributed architectures and stream computing .

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