Senior Quantitative Analyst at Sygnia Asset Management

The Role:

• We are seeking an experienced and technically proficient Senior Quantitative Analyst to join our dynamic team. The focus of this position is performance and risk analysis requiring knowledge and application of broader quantitative and investment related topics.

The duties and responsibilities of this position include (but are not limited to):

• Supervision, training and mentoring of junior quant team members
• Support function to Sygnia Administration and Sygnia Investments
• Monthly and quarterly fund and client reporting, including, but not limited to, Investment Analysis Reports and Fund Fact Sheets
• Data gathering, verification and preparation
• Updating, maintaining and automating various reporting processes as required
• Performance and management fees calculations and verification
• Investment related research, including assisting the manager research team in quantitative reviews.
• Maintaining process documentation
• Various other ad hoc data analyses

Qualifications and Experience:

• Minimum 3 years’ experience within the financial services or investment management industry
• Strong proficiency in MS Excel, including advanced functions, pivot tables, lookups, and data analysis
• BSc (with Commerce subjects), BBusSci, or BCom degree as a minimum qualification; Mathematical Sciences, Statistics, Actuarial Science, Finance, or Investment Management advantageous
• CFA Level I or progress toward CFA qualification (advantageous)
• Strong analytical, quantitative, and problem-solving skills
• High level of numerical accuracy and attention to detail
• Ability to work under pressure and meet strict deadlines
• Strong interest in financial markets, investments, and portfolio analysis
• Excellent written and verbal communication skills
• Ability to interpret and present financial data and investment insights clearly
• Self-motivated with the ability to work independently and collaboratively within a team
• Strong organisational and time-management skills
• High level of integrity, professionalism, and accountability
• Experience working with financial data systems, investment platforms, or reporting tools advantageous
• Knowledge of asset classes, portfolio construction, and investment performance analysis advantageous
• A passion for investment analysis and continuous learning within the investment industry

Closing date: 29 May 2026