Careers

We are a leading quantitative trading firm and liquidity provider that aims to deliver exceptional risk-adjusted returns. With the combination of comprehensive mathematical analysis, extensive financial market knowledge, and cutting-edge AI technology solutions, our trading model has stood the test of time. We are the avant-garde within the market space in terms of systematic decision making, algorithmic execution and active risk management. The team is constructed with experienced talents from top-tier investment banks like Morgan Stanley/Merrill Lynch (Bank of America)/UBS/Macquarie, as well as graduates from solid academic backgrounds from LSE/Oxford/NTU/NUS.
【Responsibilities】

  • Driving operation readiness and resolving the production issues in Elasticsearch, Logstash, and Kibana (ELK)
  • Capacity planning and analysis for elasticsearch
  • Perform health checks of Elasticsearch clusters and indices on a regular basis
  • Collect and analyze Elasticsearch slow logs and identify poorly performing queries
  • Troubleshoot performance issues and scaling indices
  • Work with multiple stakeholders to analyze requirements, clarify design dependencies, create test plans, support functional and non-functional activities
  • Set up and configure elastic stack
  • Configure ELK Stack components to collect and store the data necessary to meet business requirements

【Requirements】

  • Hands on experience in Elasticsearch, Logstash & Kibana
  • Ability to deploy Elasticsearch, Logstash configurations, tunings, and customizations as per requirements
  • Elasticsearch clustering, performance optimization, and REST API
  • Ability to setup different type of beats and to establish secure data transfers
  • Ability to Search Query, dashboards, and visualizations using Kibana
  • Must have very good understanding of Log Analytics
  • Kibana : Can create different visualization and dashboards according to the requirement
  • Good experience in query languages and writing complex queries with joins that deals with a large amount of data
  • Good understanding and experience with Cloudera CDP services (HDFS, HBase, SPRAK and Ranger)
  • Hands on experience with security settings implementation and working on vulnerabilities fixes
  • Strong background in managing and maintaining large scale Linux environments
  • Infrastructure Knowledge (Server / Storage / Network / Services)
  • ITIL knowledge

【Benefits】

  • Option to work remotely within Malaysia&Spain&Barbados even up to 100% – you choose; with option to work abroad up to 25 days yearly
  • Competitive base and bonus
  • Flat structure with a positive team spirit
  • Multiple company overseas trips per year
  • Leisure activities such as sports, board games, etc.

【Location】 Suzhou,China/Johor Bahru,Malaysia/Dublin,Ireland/Santiago,Chile