Join our highly-rated Electronic Execution team in Hong Kong and help further expand our market reach across Asia. You will work within a supportive and high performing team to explore and analyse innovative quantitative investment strategies in an entrepreneurial and collaborative culture.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

Working across product, execution and technology teams, you will focus on the development and enhancement of our algorithmic trading strategies and actively contribute to the full development cycle of our electronic trading product. You will research market microstructure, develop and test algo trading models and price signals, monitor and evaluate performance via transaction cost analysis, as well as drive ongoing optimization efforts on our algo wheel configurations.

In addition, you will work together with sales and execution teams to provide quantitative advice with a client-centric approach supporting a diverse client group across all regions on our global platform.

What You Offer

• Self-motivated team player with a logical and analytical mindset, strong drive to succeed and willingness to learn as well as intellectual curiosity and a passion for continuous learning and problem-solving.
• Exceptional verbal communication skills in English and the ability to communicate technical ideas succinctly with a commercial mindset
• Strong programming skills in Python and proficiency in major programming languages like C# kdb/q and SQL
• Experience within Asia and exposure to global equity markets with a strong understanding of market microstructure
• 5+ years’ relevant experience with quantitative analysis gained in electronic execution and/or algo trading
• A PhD and/or Masters’ degree in a quantitative, mathematics, physics, computer science, machine learning or similar discipline
  
  

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Macquarie Capital

Macquarie Capital partners with businesses, startups and governments to connect ideas to capital and help drive innovation, growth and create real-world impact. Our global corporate advisory, investing, development and equities capabilities are underpinned by a full spectrum of capital markets solutions and deep sector expertise, with a focus on infrastructure and real assets, technology, software and services, and resources, energy and materials.

Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• Hybrid and flexible working arrangements
• One wellbeing leave day per year
• Up to 20 weeks paid parental leave as well as benefits to support you as you transition to life as a working parent
• Paid volunteer leave and donation matching
• Other benefits to support your physical, mental and financial wellbeing
• Access a wide range of learning and development opportunities
  
  

Our commitment to diversity, equity and inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

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