Senior Quantitative Analyst / Portfolio Manager: Bonds
Purpose of the Role
An exciting opportunity exists for a Senior Quantitative Analyst / Portfolio Manager: Bonds to join a high-performing investment team with direct exposure to all aspects of interest-bearing research, portfolio management, and strategy formulation.
In this senior-level role, you will take ownership of research, analysis, and strategic recommendations on interest-bearing markets using both fundamental and quantitative techniques. You will contribute to yield enhancement strategies, fair value research, and duration positioning-while also playing a critical role in portfolio construction, implementation, and performance delivery.
This role is ideal for either a Senior Analyst with aspirations to become a Bond Portfolio Manager or an experienced Portfolio Manager ready to hit the ground running.
Key Responsibilities
Interest Bearing Research
- Expand strategies and market coverage
- Drive new yield enhancement research
- Portfolio construction and risk management
- Documentation of research, process and model workings
- Assist in developing content for the bond portal
- Derivatives research and strategy ideas
Portfolio Management / Implementation
- Oversee and maintain bond model portfolios
- Manage cashflow implementation and bond dealing
- Monitor and enforce compliance with mandates
- Generate model portfolios and duration positions
- Drive asset allocation and yield enhancement strategies
- Contribute to currency views
- Manage risk via derivatives
Team Interaction
- Collaborate within a high-performing investment team
- Contribute new research and debate ideas
- Enhance processes for speed and quality
- Offer insights for client engagement and market perspectives
Required Skills and Experience
- 4-5 years' experience in asset management with a focus on fixed-income research or portfolio management
- Actuarial academic background (LDI experience advantageous)
- High-level numerical and analytical skills
- Strong programming ability in R, Python, Matlab, C++, or C#
- Proven ability to independently develop and implement complex quantitative models
Required Qualifications
- Minimum Honours degree in a quantitative discipline: Mathematics, Statistics, Applied Mathematics, Actuarial Science, Computer Science, Physics (with 2 years of Mathematics and Statistics at undergrad level)
- Preferred: MSc in the above fields
- Advantageous: CFA or CQF (or currently studying towards)
Key Competencies
- Logical thinker with idea-generation ability
- Results-driven and self-motivated
- High attention to accuracy and detail
- Excellent interpersonal and communication skills
- Structured work style and strong organisational skills
- Strong EQ and team collaboration
- Proven time management and ability to perform under pressure
