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Global Equities Data and Analytics - KDB Developer - Director

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Manage real-time market data for the APAC region

  • Support the global data and analytics platform, real-time and historical

  • Work with and support regional trading desks and quants

  • Implement functionality based on defined APIs

  • Write documentation and keep code clean and efficient

From the employer’s posting
Managing real-time market data in the region and building out APAC regional specific use cases and requirements.
Supporting Global Data & Analytics platform including real-time and historical data
Working with and supporting trading desks and quants in the region
Implement functionality based on defined API
Writing documentation

What you’ll bring

All qualifications

Core experience

  • 10+ years with large financial datasets (market, order, position data)
  • 10+ years of Kdb+/Q experience
  • Unix/Linux environment experience
  • Python with cloud, Iceberg or Parquet
  • Superb communication and interpersonal skills
Qualification wording
10+ years working with large financial data sets, such as market data, order/execution data, and/or positions data
10+ years of Kdb+/Q, experience working in a Unix/Linux environment
experience working in a Unix/Linux environment
Other language experience required Python w/ (cloud/iceberg/parquet)
Superb communication and interpersonal skills/ Confident in communicating with developers, QA, and production support team.
Apply at Jefferies

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

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How this job compares

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Day 5

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See how this role fits your experience

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  • C#
  • C++
  • Java
  • Python
  • AWS
  • Iceberg
Where the posting names them
Our global Equity Technology team is building cutting-edge technology solutions spanning across the full spectrum of equity products globally: Cash, Portfolio trading, Algo trading, Central risk book, listed and OTC derivatives, convertible bond, equity swap, and ETF & basket trading covering multi asset sales & trader order management, quantitative trading, real time position and risk management, AI/ML data analytics, trade lifecycle management, and regulatory & customer reporting. Our team is global and located in all major trading hubs/cities of the world operating in a 24x7 follow-the-Sun model. Hong Kong is one of the hubs for our global Equities franchise. You’ll work with teams across New York, London, Pune, and other major markets, contributing to systems that run in real time and at global scale. We're growing fast, breaking into new markets and regions and we're often building new technology platforms from the ground up. We have people from across the business coming to us to build technological solutions to their most mission-critical business challenges with strong exposure to front-office trading workflows, opportunities to own end-to-end components. We use a spectrum of development frameworks and programming languages including Python, Java, C++, C#, KDB/Q, full stack visualization dashboards implementations with HTML5 & D3 in addition to the cloud on a global scale to provide capacity, performance, and resilience with cutting-edge high-performance messaging & in memory databases. If you are interested in working in a fast-paced environment and want to be in the middle of the action with a talented team of technologists and looking for a path to develop deep expertise in markets, low-latency engineering, and large-scale distributed systems—with clear ownership and impact from day one, our team is the place to be. Job Description
- Ability to learn new technologies and business knowledge - Other language experience required Python w/ (cloud/iceberg/parquet), Java (a plus), Unix/Linux - Experience of agile methodologies will be an advantage
Global Equities Data and Analytics platform manages multi-asset (e.g. stocks, ETFs, Index, Futures, Options) real-time and historical market data and other vendor data (e.g. Barra, MSCI) globally. It provides services for trading desks to do day-to-day trading, risk management, hedging decisions and AI use cases for real-time trading. APAC team is very important part of our global platform covering APAC and overlapping with EMEA, US time zone from supporting perspective, and managing real-time market data in APAC region as well as building out APAC regional specific use cases and requirements. It is also critical part of supporting APAC Equities business closely with trading desks in the region. The skills include KDB/Q, Python w (cloud/iceberg/Parquet) etc. The APAC regional tech lead role (SVP) will be overlooking team in APAC, working very closely with global team in other locations (New York, London, Pune, etc), and facing stakeholders in the region.
- Capital markets experience, e.g. Derivs, Stocks, index, ETFs trading. - Proven delivery track record, Cloud experience (e.g. AWS) is preferred. - Good team player with a strong desire to participate and help others

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Our global Equity Technology team is building cutting-edge technology solutions spanning across the full spectrum of equity products globally: Cash, Portfolio trading, Algo trading, Central risk book, listed and OTC derivatives, convertible bond, equity swap, and ETF & basket trading covering multi asset sales & trader order management, quantitative trading, real time position and risk management, AI/ML data analytics, trade lifecycle management, and regulatory & customer reporting. Our team is global and located in all major trading hubs/cities of the world operating in a 24x7 follow-the-Sun model. Hong Kong is one of the hubs for our global Equities franchise. You’ll work with teams across New York, London, Pune, and other major markets, contributing to systems that run in real time and at global scale. 

We're growing fast, breaking into new markets and regions and we're often building new technology platforms from the ground up. We have people from across the business coming to us to build technological solutions to their most mission-critical business challenges with strong exposure to front-office trading workflows, opportunities to own end-to-end components.  We use a spectrum of development frameworks and programming languages including Python, Java, C++, C#, KDB/Q, full stack visualization dashboards implementations with HTML5 & D3 in addition to the cloud on a global scale to provide capacity, performance, and resilience with cutting-edge high-performance messaging & in memory databases. If you are interested in working in a fast-paced environment and want to be in the middle of the action with a talented team of technologists and looking for a path to develop deep expertise in markets, low-latency engineering, and large-scale distributed systems—with clear ownership and impact from day one, our team is the place to be.

 

Job Description 

Global Equities Data & Analytics Team is looking for APAC regional tech lead located in Hong Kong to be part of the global team managing, developing, and supporting Global Equities Data and Analytics Platform, which provides data and analytics services for over 10 trading desks globally including Cash Equities, Derivatives (Listed and OTC), Electronic  trading, Algo trading, Index rebalance strategists, ETFs trading, Delta One, Central Risk Book, SecFin trading, etc. 

 

Global Equities Data and Analytics platform manages multi-asset (e.g. stocks, ETFs, Index, Futures, Options) real-time and historical market data and other vendor data (e.g. Barra, MSCI) globally. It provides services for trading desks to do day-to-day trading, risk management, hedging decisions and AI use cases for real-time trading. 

 

APAC team is very important part of our global platform covering APAC and overlapping with EMEA, US time zone from supporting perspective, and managing real-time market data in APAC region as well as building out APAC regional specific use cases and requirements. It is also critical part of supporting APAC Equities business closely with trading desks in the region. The skills include KDB/Q, Python w (cloud/iceberg/Parquet) etc. 

 

The APAC regional tech lead role (SVP) will be overlooking team in APAC, working very closely with global team in other locations (New York, London, Pune, etc), and facing stakeholders in the region.

 

Proven experience managing large financial databases and datasets consisting of real-time and historical data and excellent communication skills are required, as you’ll be in a fast-paced environment working hands-on closely with other developers, QA and production support teams.

 

The successful candidate will be expected to create innovative analytics solutions that advance the business; and will be improving the design, analytics, development, coding, testing and application programming that goes into creating high-quality software and new products.


Principal Responsibilities

  • Managing real-time market data in the region and building out APAC regional specific use cases and requirements.
  • Supporting Global Data & Analytics platform including real-time and historical data
  • Working with and supporting trading desks and quants in the region 
  • Implement functionality based on defined API
  • Use and implement library-grade software
  • Ensure clean and efficient coding practices and adherence to industry best practices
  • Collaborate with other developers to implement efficient and robust solutions
  • Writing documentation

Technical Qualifications

  • 10+ years working with large financial data sets, such as market data, order/execution data, and/or positions data
  • 10+ years of Kdb+/Q, experience working in a Unix/Linux environment
  • Superb communication and interpersonal skills/ Confident in communicating with developers, QA, and production support team. This role requires confident communication with global team including traders / quants and stakeholders in APAC.
  • Ability to learn new technologies and business knowledge
  • Other language experience required Python w/ (cloud/iceberg/parquet), Java (a plus), Unix/Linux
  • Experience of agile methodologies will be an advantage

Highly Valued

  • Capital markets experience, e.g. Derivs, Stocks, index, ETFs trading.
  • Proven delivery track record, Cloud experience (e.g. AWS) is preferred. 
  • Good team player with a strong desire to participate and help others
  • Able to bring critical thinking and new ideas to the team
  • Demonstrates thoroughness and strong ownership of work.
Source details

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Hong Kong

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