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Open nowPosted today

Backend Engineer

MyCareersFuture95,505 open roles

Pay
SGD 8,000 – SGD 13,000 a month
Where
Central, Singapore
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Your applicationOpen nowBackend EngineerMyCareersFuture · Central, Singapore
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The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 8 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 8 days open

The posting

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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