APAC Tech Lead, Global Equities Data & Analytics (KDB/Q)

Jefferies

Hong Kong

On-site

HKD 1,200,000 - 1,800,000

Full time

28 hours ago
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Job summary

Jefferies is seeking a senior APAC Tech Lead in Hong Kong to oversee the Global Equities Data & Analytics platform. You will manage real-time market data, build APAC-specific use cases, and work closely with traders, quants, and the global team across New York, London, and Pune.

You will leverage KDB/Q, Python, Java, and cloud data tools to deliver scalable analytics, drive data-driven decisions, and support trading desks with timely insights in a fast-paced environment.

Qualifications

  • 10+ years with large financial data sets (market data, orders, positions).
  • 10+ years with Kdb+/Q in Unix/Linux environments.
  • Excellent communication with traders, quants, and stakeholders.
  • Ability to learn new technologies and business knowledge.
  • Experience with Python w/ cloud tools and data formats (Parquet, Iceberg).
  • Experience with agile methodologies is a plus.

Responsibilities

  • Manage real-time market data for APAC region and develop APAC-specific use cases.
  • Support Global Data & Analytics platform with real-time and historical data.
  • Collaborate with trading desks and quants in the region.
  • Implement functionality based on defined APIs.
  • Use and implement library-grade software.
  • Ensure clean, efficient coding practices and industry best practices.
  • Collaborate with developers to deliver robust solutions.
  • Write technical documentation.

Skills

Kdb+/Q
Unix/Linux
Communication skills
Agile methodologies

Tools

Python (cloud/iceberg/parquet)
Java
AWS
Parquet
Iceberg

Job description

Jefferies is seeking a senior APAC Tech Lead in Hong Kong to oversee the Global Equities Data & Analytics platform. You will manage real-time market data, build APAC-specific use cases, and work closely with traders, quants, and the global team across New York, London, and Pune.

You will leverage KDB/Q, Python, Java, and cloud data tools to deliver scalable analytics, drive data-driven decisions, and support trading desks with timely insights in a fast-paced environment.

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