# KDB Engineer - Equities Research Technology

**Company**: Equity IT
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://mlp.eightfold.ai/careers/job/755957306836?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6d1806cf-1f2

## Description

We are seeking a KDB Engineer to join our Equities Research Technology team at Equity IT in London.

The successful candidate will partner with R&D and application development teams to design, prototype, and implement next-generation high-performance real-time analytics solutions that scale with the business. They will collaborate with the team to build a market-leading portfolio P&L and risk platform for latency-critical processes with high visibility across trading and management teams.

Responsibilities:

- Partner with R&D and application development teams to design, prototype, and implement next-generation high-performance real-time analytics solutions that scale with the business

- Collaborate with the team to build a market-leading portfolio P&L and risk platform for latency-critical processes with high visibility across trading and management teams

- Work across a range of technologies to deliver state-of-the-art intraday analytics platforms used in risk and portfolio management systems across the firm

- Contribute to the application development and architecture of highly scalable real-time platforms

- Support the build and ongoing enhancement of real-time and historical data infrastructure, including opportunities to optimize how data is stored, queried, and processed

- Develop and maintain clean, testable code in a Linux-based environment

- Work with interconnected q processes and integrate with components written in C, C++, and Python through IPC, WebSocket, and HTTP interfaces

Requirements:

- 4+ years of experience in KDB+ q application development on Linux, with a strong understanding of the Linux operating system

- Experience building and maintaining feed handlers, real-time databases, and historical databases, with a focus on performance and optimization

- Experience working with multiple q processes interacting with one another and with services written in C, C++, and Python

- Strong coding standards and experience writing clean, testable code

- Basic understanding of computer networking and experience with monitoring tools such as Datadog and the ELK stack

- Basic understanding of equities, linear products, and financial markets, along with a strong interest in working directly with investment professionals

- Collaborative approach, strong team orientation, and willingness to contribute across the group

- Curiosity, learning agility, and interest in experimenting with new ideas; cross-asset risk analytics or large-scale real-time portfolio risk and P&L engine experience is a plus

## Skills

### Required
- KDB+
- q application development
- Linux
- C
- C++
- Python
- Datadog
- ELK stack

### Nice to have
- cross-asset risk analytics
- large-scale real-time portfolio risk and P&L engine

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Source: [Apply at mlp.eightfold.ai](https://mlp.eightfold.ai/careers/job/755957306836?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)