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Quantitative Investment Specialist
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We are seeking a highly skilled Quantitative Analyst to join our Macquarie Systematic Investment team. As a key member of our team, you will be responsible for researching and developing systematic investment strategies that underpin our products.
Key Responsibilities- Generate new research ideas and test them using Python and other programming languages.
- Implement and monitor the performance of our existing systematic models.
- Maintain and enhance existing quantitative systems and processes.
- Prepare responses to client and consultant requests.
- Continually seek ways to add value to the overall investment process.
- 2-5+ years' experience in a similar role, with a strong academic background in maths, actuarial, engineering, science, IT, or finance.
- High-level programming skills in Python, SQL, Unix, MATLAB, R, or similar.
- A passion for applying your skills to financial markets and a great interest in dealing with large datasets and finding exploitable patterns.
- Excellent written and verbal communication skills, with a proactive and independent approach to work.
Macquarie Asset Management is a global asset manager that aims to deliver positive impact for everyone. We provide access to specialist investment expertise across a range of capabilities, including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance.
Benefits- Hybrid and flexible working arrangements.
- One wellbeing leave day per year and up to five additional days leave based on length of service.
- 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.
- Range of benefits to support your physical, psychological, and financial wellbeing.
- Access to a wide range of learning and development opportunities.
We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply for a role, regardless of their identity, including gender, race, ethnicity, cultural identity, nationality, age, sexual orientation, gender identity, intersex status, marital or family status, neurodiversity, religion or belief, disabilities, or socio-economic background.
