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# Global Equities Technology - Developer (Vice President)

- **Company:** Jefferies & Company, Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Franchise
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Algorithmic Trading, Amazon Web Services, Business Analytics Applications, Cloud Computing, Python (Programming Language), Parquet, KDB+, Data Analytics
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dfe4c23c1fb05d6f

## About the Role

* 6+ years working with large financial data sets, such as market data, order/execution data, and/or positions data
 * 6+ 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. Confident communication with global team including traders / quant in EMEA
 * 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

## Description

Global Equities Data and Analytics Team is looking for a team located in London 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.

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

The developer role (VP) will be working very closely with global team in other locations (New York, Hong Kong, Pune, etc), building out EMEA regional specifics, and supporting trading desks and quants 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 EMEA 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