Data Analyst: Multi-asset

2 weeks ago


Cape Town, South Africa Tracking Talent: a WilsonHCG Company Full time

A multinational Fund Manager is seeking a Data Analyst for their Multi-Asset Team. The role will entail being part of the team that manages balanced portfolios in line with the Company’s philosophy and process. Key elements will be the development of new asset allocation tools and strategies, as well as the improvement of the current system. Building predictive models and advanced algorithms that help the multi asset team to drive performance across the multi asset fund range will be part of the daily work. The person will need to follow a collaborative team approach that adheres to the company value framework.

**Qualifications & Experience**:

- University Degree (Computer Science/Maths/Stats/Business Science/Actuarial), and/or Post Graduate degree
- CFA or FRM studies preferred
- 1-3 years of experience in a comparable role, or in another quantitative finance field, having coded predictive models in various scripting languages.
- In the role it is essential to understand and implement sound econometric concepts in different scripting languages, driving efficiencies within the team and research processes.
- Knowledge of various statistical techniques and data science are therefore key elements.
- Strong programming skills in R and SQL
- Solid understanding of asset allocation, economics and multi asset portfolio management
- Strong programming skills, particularly in R, are therefore essential (other languages are beneficial, especially Python)
- Solid experience managing and analyzing large amounts of data is a must (ideally SQL)
- Experience with version control and database solutions necessary (ideally Git)

**Duties & Responsibilities**:
Asset Allocation/Balanced Quantitative Research

The key objective is the development of new asset allocation tools and strategies, as well as the improvement of the current system
- Assist in defining the asset allocation research/alpha framework
- Improve the current asset management tools available and maintain the infrastructure in place
- Develop econometric models to shape the tactical asset allocation
- Improve the portfolio construction process by developing tools to measure correlations, minimize slippage etc.
- Generate new ideas around risk management and implement them
- Develop tools to analyse capital markets and scrutinize large amounts of data in an efficient way
- Present results of research projects to broader investment team
- Document research, process and model mechanics



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