Quantitative Analyst

Talent Match Consulting; Western Cape; Sur place; ZAR 700 000 - 950 000; Plein temps

Résumé du poste

Talent Match Consulting seeks a Quantitative Analyst to join the investment team of a growing financial services organization. You will manage data, improve front office data handling, and use extensive investment databases to enhance investment processes, ideas, and portfolio construction.

The role requires strong quantitative skills, SQL expertise, and experience in asset management IT or analytics, with a focus on data quality and risk analytics across systems.

Qualifications

• Relevant degree (IT systems, Data Analysis or Mathematical qualification).
• Interest in leveraging systems, data and quantitative skills to add value to asset management clients through improved risk-adjusted returns.
• Experience within the asset management industry (investment team or IT/business development).
• SQL skills for data exploration and analysis.
• Excellent numeracy with ability to reconcile and track data across systems over time.
• Solid understanding of databases and ability to analyse data.

Responsabilités

• Review and document data collection, storage and usage within the investment team.
• Liaise with the Business Analyst team on new system implementations (Order Management System, Data Centralisation).
• Manage data within the investment team, improving collection, storage and retrieval, and streamline processes.
• Leverage data to identify investment ideas and improve portfolio construction and risk management.
• Own portfolio analysis tools (iMaps, Bloomberg) and enhance analytics for PMs.
• Coordinate with QA/Marketing to ensure data availability in required formats.

Connaissances

SQL

Data analysis

Numeracy

Databases

Formation

Relevant degree in IT systems/Data Analysis/Mathematics

Outils

Bloomberg

iMaps

Description du poste

An opportunity exists for a Quantitative Analyst

Within the investment team of a growing financial services organisation. The role requires an individual with strong skills and relevant industry experience in systems and data, and excellent quantitative skills. The individual will be the custodian of the investment team's data, will liaise with the Business Analyst team to improve the front office data management, and will ultimately use the extensive investment databases to help improve the investment processes, identify new investment ideas, and improve portfolio construction and risk management.

Duties & Responsibilities

• Review and document all data collection, storage, and usage of data within the investment team.
• Liaise with the Business Analyst team on new system implementations, including the Order Management System and Data Centralisation initiatives.
• Manage data within the investment team, improving collection, storage and retrieval. Look for opportunities to upgrade and streamline existing processes or create new enhanced processes.
• Look for opportunities to leverage the investment team’s data to identify new investment ideas, enhance the investment process, and improve portfolio construction and risk management.
• Take ownership of existing portfolio analysis tools (including iMaps and Bloomberg), constantly looking to provide incrementally better portfolio and risk analytics to the portfolio managers.
• Liaise with the Business Analyst team and Sales/Marketing to understand investment team relevant data collected and maintained outside the investment team (analysis of portfolio trades, Statpro reports of attribution/contribution etc) and ensure this data is available in the appropriate format as and when required.

Desired Experience & Qualification

• Relevant degree (IT systems, Data Analysis or Mathematical qualification).
• Interest in leveraging systems, data and quantitative skills to add value to asset management clients through improved risk-adjusted returns.
• Experience within the asset management industry (could be in the investment team or in IT/business development).
• SQL skills that allow for exploration and analysis of data.
• Excellent numeracy skills with the ability to reconcile and track data across systems over time.
• Solid understanding of databases and ability to analyse data.