Senior Execution Quant, Institutional Equities

Posted 3 Days Ago
Be an Early Applicant
Hong Kong
Senior level
Fintech • Payments • Financial Services
The Role
The Senior Execution Quant will research, design, and implement trading strategies and analytics for institutional equities. Responsibilities include building execution strategies, providing quantitative client services, and optimizing trading systems. The candidate will also engage in client-driven execution research and collaborate closely with algo developers and electronic execution desks.
Summary Generated by Built In
Position Description

The Algorithmic Trading team is looking for an Execution Quant to join our Hong Kong development centre.

Working closely with the algo development team, the algo quant team researches, designs and implements trading signals, trading strategies and analytics systems that are used by our traders and clients around the world. It collaborates with our electronic execution desk to promote the product it builds. It provides extensive quantitative client services to our client base.

We strive for innovation and a quantitative, data-driven approach to trading.

Our culture is collaborative and one where everyone is valued and given the opportunity to make an impact.

Key Areas of Responsibilities

The successful candidate

  • will have a solid experience in building and evaluating equities execution strategies
  • will have a strong understanding of drivers of execution performance across Asia
  • will carry out custom client-driven execution research, provide quantitative advisory services to our clients, optimise our algo wheel configurations and data mine our trading exhaust as well as contribute to the development and improvement of the electronic trading strategies across the full development cycle

Requirements

  • Post-graduate degree in Mathematics, Physics, Computer Science or another quantitative subject
  • Strong problem-solving and analytical skills
  • Demonstrated practical experience or deep understanding of statistical and machine learning techniques
  • Strong programming skills and proficiency in Python.
  • Experience in algorithmic execution post-trade analysis and algo wheel optimisation
  • Strong communication and interpersonal skills
  • Strong team player and open to new ideas
  • Understanding of equity market microstructure
  • Experience building execution models and trading strategies
  • Ability to code in q/kdb+
  • Development experience in C# or other object oriented programming languages

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Top Skills

C#
Python
Q/Kdb+
The Company
London,
2,160 Employees
On-site Workplace
Year Founded: 1986

What We Do

CITIC CLSA is a wholly-owned subsidiary of CITIC Securities and its overseas business platform.

Established in Hong Kong in 1986, CITIC CLSA is Asia’s leading capital markets and investment group, committed to driving the growth strategies of global institutional investors, corporations, governments and high-net-worth individuals.

CITIC CLSA’s award-winning research, extensive Asia network, direct links to China and highly experienced financial professionals set CITIC CLSA apart from global investment banks and regional players.

Over three decades, CITIC CLSA has built an extensive Asia network with deep local knowledge and connections. Globally, we operate from 13 countries across Asia, Australia, Europe and the Americas. For further information, please visit clsa.com

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