Principal DevOps, Algo KDB, IT

CITIC Securities International Company Limited; Hong Kong; Sur place; HKD 1 500 000 - 2 100 000; Plein temps

Résumé du poste

CITIC Securities International Company Limited in Hong Kong seeks an experienced Algo KDB Analyst to join the Algo team. The successful candidate will work with Electronic Execution, Equity Traders and Technologists to deliver high quality, cutting edge solutions.

The role focuses on building a global analytics product using KDB+, real-time and historical market data, and developing a robust analytics API, collaborating with quant teams and improving data infrastructure.

Qualifications

• Bachelor’s degree or above in Computer Science or Software Engineering or Quantitative Discipline.
• 10+ years of experience in KDB, with excellent KDB / Q development skills.
• Strong understanding of KDB architecture and design best practices
• In depth understanding of Equities Market Data
• Experience with Refinitiv Elektron or RRDT feeds
• Experience in API design
• Exposure to TCA / Post trade reporting
• Some experience in other programming languages, such as Python, C# or R
• Strong analytic and problem-solving skills
• Excellent communication and interpersonal skills in English and Chinese

Responsabilités

• Lead the build out of the KDB+ based global analytics product – a key area of growth for our Electronic product offering
• Be responsible for the day to day operation and development of the analytics product - including real-time and historical market data, algo execution details and alternative data sources.
• Work closely with the quant team to develop a fully-featured analytics API for modelling and data analysis
• Improve integration between the analytics system and other areas of the Electronic trading Suite, such as the execution engine, model engine, UI and post trade system.
• Extend and improve the production data infrastructure
• Resolve operational issues and implement preventative measures

Connaissances

KDB+

Python

C#

R

Analytical thinking

Communication (Eng/Chi)

Formation

Bachelor’s degree in Computer Science / Software Engineering / Quantitative Discipline

Outils

Refinitiv Elektron

RRDT feeds

Description du poste

• Experience with Refinitiv Elektron or RRDT feeds
• In depth understanding of Equities Market Data
• Experience in API design

Position Description

We are seeking an experienced Algo KDB Analyst to join our Algo team. Our trading platform is purely developed in-house; the successful candidate will work closely with Electronic Execution desk, Equity Traders and Technologists to deliver high quality, cutting edge solutions.

The candidate will have to work effectively in a dynamic and diversified team environment.

Key Areas of Responsibilities

Lead the build out of the KDB+ based global analytics product – a key area of growth for our Electronic product offering

Be responsible for the day to day operation and development of the analytics product - including real-time and historical market data, algo execution details and alternative data sources.

Work closely with the quant team to develop a fully-featured analytics API for modelling and data analysis

Improve integration between the analytics system and other areas of the Electronic trading Suite, such as the execution engine, model engine, UI and post trade system.

Extend and improve the production data infrastructure

Resolve operational issues and implement preventative measures

Requirements

Bachelor’s degree or above in Computer Science or Software Engineering or Quantitative Discipline.

10+ years of experience in KDB, with an excellent KDB / Q development skills.

Strong understanding of KDB architecture and design best practices

In depth understanding of Equities Market Data

Experience with Refinitiv Elektron or RRDT feeds

Experience in API design

Exposure to TCA / Post trade reporting

Some experience in other programming languages, such as Python, C# or R

Strong analytic and problem-solving skills

Excellent communication and interpersonal skills in English and Chinese