Quantitative Analyst - Cape Town - The Recruitment Council

    The Recruitment Council
    The Recruitment Council Cape Town

    1 week ago

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    Description

    Purpose of the Role

    The Quantitative Analyst - Bonds will be part of a high-performing Bonds team, responsible for conducting research and providing insights on interest-bearing markets. This role involves a blend of quantitative and fundamental analysis to evaluate bond and money market opportunities, with a focus on identifying fair value across these markets.

    Key Responsibilities

    • Conduct in-depth research to improve the quality and coverage of bond market data, enhancing alpha.
    • Support the development and expansion of strategies and market coverage.
    • Contribute to portfolio construction and risk management under guidance.
    • Assist in developing and documenting content for the bond portal.
    • Develop strategies for yield enhancement and derivatives research.
    • Continuously document research processes, methodologies, and models to ensure consistency and transparency.

    Interest Bearing Portfolio Management/Implementation

    • Assist in maintaining bond model portfolios to meet performance objectives.
    • Support cashflow management and bond dealing processes while ensuring compliance with investment guidelines.
    • Provide input on bond portfolio strategies, including asset allocation decisions and duration positions.
    • Assist in the generation of yield enhancement strategies and provide currency views.
    • Help manage portfolio risks using derivatives where applicable.

    Team Collaboration

    • Collaborate effectively within the Bonds team, promoting a positive, cohesive work environment.
    • Proactively contribute to the generation of new research ideas and engage in team discussions to improve strategies.
    • Suggest process improvements that will help streamline research and portfolio management activities.
    • Demonstrate a solution-oriented approach to challenges, contributing to the overall success of the team.

    Required Skills and Experience

    Experience

    • At least 2 years of experience in asset management, specifically in fixed income analysis or portfolio management (e.g., analyst, junior portfolio manager).
    • Experience in roles requiring strong quantitative and analytical skills, including economics or econometrics.
    • Exposure to Liability Driven Investment (LDI) strategies and actuarial backgrounds are highly beneficial.

    Technical Skills

    • Proficiency in at least one programming language such as Python, R, Matlab, C++, or C#.
    • Ability to showcase independent coding work or projects that demonstrate analytical and programming skills.

    Education

    • A minimum Honours degree in a quantitative discipline such as Mathematics, Statistics, Applied Mathematics, Actuarial Science, Computer Science, or Physics. At least 2 years of undergraduate Mathematics and Statistics required.
    • An MSc in a related field is preferred.
    • Additional professional qualifications, such as CQF (Certificate in Quantitative Finance) or CFA (Chartered Financial Analyst), are advantageous.

    Key Competencies

    • Analytical Thinking: Ability to generate logical ideas and solve complex problems, particularly in quantitative research and portfolio construction.
    • Work Ethic: Highly self-motivated, driven, and focused on delivering results.
    • Problem-Solving: Strong aptitude for solving technical challenges and providing innovative solutions.
    • Team Collaboration: Strong interpersonal skills and ability to work well in a team, contribute to discussions, and engage with colleagues constructively.
    • Communication: Exceptional verbal and written communication skills, with the ability to present complex ideas clearly and concisely.
    • Attention to Detail: Strong focus on accuracy and quality in research and documentation.
    • Organization: Highly organized with the ability to manage multiple tasks and meet deadlines in a fast-paced environment.
    • Programming Skills: A solid programming background, with the ability to adapt and learn new coding techniques quickly.


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