Quantitative Analyst Opportunity
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 to improve portfolio construction and risk management.
Duties & Responsibilities
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 off 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 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 off systems, data and quantitative skills to add value to asset management clients through improved risk-adjusted returns.
- Experience within asset management industry (could be in int team or in IT / business development).
- SQL skills that allow for exploration and analysis of data.
- Excellent numeracy skills with ability to reconcile and track data across system over time.
- Solid understanding of databases and ability to analyse data.
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