Quantitative Trader - Fixed Income
Sydney, New South Wales, Australia · 정규직
가장 먼저 지원하세요
- 경험
- 3년 이상
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 5시간전
- 작업 모드
- 사무실에서
- 교육
- Degree in a quantitative discipline (e.g., Data Science, Finance, Actuarial Studies, Mathematics)
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
About the Role
This role is part of a leading global ETF management firm managing approximately $28 billion in assets under management within Australia, spanning equities, fixed income, and alternative investments. The position operates within the Investments and Capital Markets team based in Sydney and reports directly to a Senior Portfolio Manager. The focus lies at the nexus of quantitative portfolio management and fixed income trading, with significant opportunity to influence the development of tools, models, and execution workflows supporting both passive and active fixed income strategies.
Key Responsibilities
- Oversee the management of both passive and active fixed income portfolios employing optimisation methods.
- Execute and supervise over-the-counter (OTC) fixed income trades.
- Develop and maintain quantitative models, analytical tools, and dashboards for portfolio management, performance measurement, and risk analysis.
- Support portfolio managers through trade reviews, performance tracking, exposure monitoring, and risk management.
- Contribute to investment reporting, performance and risk attribution, and communication with stakeholders.
- Engage in investment thought leadership activities alongside the broader team.
Candidate Requirements
- Minimum three years of quantitative or trading experience in an asset management or investment banking environment.
- Direct familiarity with fixed income markets and OTC trade execution is essential.
- A degree in a quantitative field such as Data Science, Finance, Actuarial Studies, Mathematics, or a related discipline is required; postgraduate qualifications are advantageous.
- Proficient in programming languages and tools including Python, R, SQL, and VBA.
- Experience in building quantitative models and familiarity with Bloomberg API are preferred.
- Strong communication capabilities, practical problem-solving skills, and ability to thrive in a fast-moving environment are necessary for effective collaboration with portfolio managers, traders, and business partners.