Verified Job
Accounting - Finance
Electronic Trading and Quantitative Analyst
Accounting - Finance
#709516
Remote / WFH
Job Description
Join our highly rated Electronic Execution team and play a key role at the intersection of electronic trading, client coverage, and quantitative analysis, while contributing to innovative AI driven initiatives. As a quantitatively and technically minded professional you will sit within the front office as part of a small, dynamic, and collaborative team. Our business structure is flat, performance driven, and entrepreneurial, providing exposure to senior stakeholders, live trading environments, and a global institutional client base.
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 31 markets and with 56 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?
In this role, you will support institutional clients by providing electronic trading coverage across ANZ and global equity markets working closely with trading, sales, and technology teams as a quantitative link between them, making sure our algorithms behave as intended and perform well in live markets. A big part of this is researching market microstructure and trading dynamics, monitoring execution quality through transaction cost analysis, and using those insights to continually improve our trading models and execution strategies.
You will take a consultative, content led approach with clients, translating complex quantitative and technical concepts into practical advice they can act on. That includes responding to client queries, building bespoke analysis or research where needed, and contributing to broader initiatives around technology, data, and AI in the execution workflow. Our team maintain a strong focus on risk management, controls, and operational discipline to ensure everything operates safely and effectively in a global institutional trading environment.
What you offer
An academic background in finance, economics, mathematics, physics, computer science, machine learning, or a related quantitative discipline
Relevant experience or internship exposure in electronic execution, execution analytics, or quantitative analysis within equities
Solid foundation in quantitative analysis and technology, with a strong desire to learn and a demonstrated interest in electronic trading, algorithmic execution, and market structure
Interest in AI, data, and content development within a trading context
Proficiency (or developing proficiency) in programming languages such as Python, C#, SQL Server, R, or similar
Strong interpersonal skills with the ability to communicate technical ideas clearly and succinctly.
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.
What we offer
At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:
1 wellbeing leave day per year
Up to 5 additional service bonus leave days per year
Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
2 days of paid volunteer leave and donation matching
Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
Access to a wide range of salary packaging options
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment
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.
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, ****** orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence 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. To learn more, contact our team by clicking here.
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.
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 31 markets and with 56 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?
In this role, you will support institutional clients by providing electronic trading coverage across ANZ and global equity markets working closely with trading, sales, and technology teams as a quantitative link between them, making sure our algorithms behave as intended and perform well in live markets. A big part of this is researching market microstructure and trading dynamics, monitoring execution quality through transaction cost analysis, and using those insights to continually improve our trading models and execution strategies.
You will take a consultative, content led approach with clients, translating complex quantitative and technical concepts into practical advice they can act on. That includes responding to client queries, building bespoke analysis or research where needed, and contributing to broader initiatives around technology, data, and AI in the execution workflow. Our team maintain a strong focus on risk management, controls, and operational discipline to ensure everything operates safely and effectively in a global institutional trading environment.
What you offer
An academic background in finance, economics, mathematics, physics, computer science, machine learning, or a related quantitative discipline
Relevant experience or internship exposure in electronic execution, execution analytics, or quantitative analysis within equities
Solid foundation in quantitative analysis and technology, with a strong desire to learn and a demonstrated interest in electronic trading, algorithmic execution, and market structure
Interest in AI, data, and content development within a trading context
Proficiency (or developing proficiency) in programming languages such as Python, C#, SQL Server, R, or similar
Strong interpersonal skills with the ability to communicate technical ideas clearly and succinctly.
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.
What we offer
At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:
1 wellbeing leave day per year
Up to 5 additional service bonus leave days per year
Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
2 days of paid volunteer leave and donation matching
Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
Access to a wide range of salary packaging options
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment
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.
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, ****** orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence 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. To learn more, contact our team by clicking here.
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.
