Join our Quant Strat Platform team within Commodities and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making.
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?
Leading collaborations with traders, our global Quant Strat team, Technology teams, and other stakeholders, you will deliver solutions in large-scale data engineering, machine learning, and algorithmic trading. Your advanced technical expertise and systematic approach will drive revenue opportunities while enhancing our quantitative platform.
What you offer
5+ years' of experience in a related role with hands-on coding in Python, C++, Java, Scala, or other major languages Strong technical leadership credentials, including a systematic mindset and a proven track record of designing elegant, scalable, and pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving high-level requirements A top-tier qualification in a relevant discipline (e.g., engineering, computer science, mathematics, physics, etc.) Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous 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 Commodities and Global Markets
Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance.
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 and minimum 25 days of annual leave Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer Paid volunteer leave and donation matching Range of benefits to support your physical, psychological and financial wellbeing Employee Assistance Program, a robust behavioral health network with counseling and coaching services Recognition and service awards Our commitment to diversity, equity and inclusion
We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief. #J-18808-Ljbffr
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?
Leading collaborations with traders, our global Quant Strat team, Technology teams, and other stakeholders, you will deliver solutions in large-scale data engineering, machine learning, and algorithmic trading. Your advanced technical expertise and systematic approach will drive revenue opportunities while enhancing our quantitative platform.
What you offer
5+ years' of experience in a related role with hands-on coding in Python, C++, Java, Scala, or other major languages Strong technical leadership credentials, including a systematic mindset and a proven track record of designing elegant, scalable, and pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving high-level requirements A top-tier qualification in a relevant discipline (e.g., engineering, computer science, mathematics, physics, etc.) Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous 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 Commodities and Global Markets
Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance.
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 and minimum 25 days of annual leave Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer Paid volunteer leave and donation matching Range of benefits to support your physical, psychological and financial wellbeing Employee Assistance Program, a robust behavioral health network with counseling and coaching services Recognition and service awards Our commitment to diversity, equity and inclusion
We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief. #J-18808-Ljbffr
