Description Join our collaborative environment where youll contribute to the Portfolio Management and Governance process by creating managing and analyzing a broad array of data and analytics. Dont miss this opportunity to be part of a dynamic team and promote innovation in customer experiences.
As a Associate in Portfolio Management and Governance in the Data Analytics & Reporting Team (DART) you will create analytical solutions by creating managing and analyzing a broad array of data and analytics. You will be in a position to utilize a mix of technofunctional skills and the strategic vision to help evolve our analytical tools and models across Investment Solutions. As a valued member of the team you have the opportunity to learn and grow in a dynamic and fastpaced environment making a tangible impact on our products and customer experiences.
Job responsibilities
- Developing quantitative tools to enhance investment process for multiasset portfolios.
- Provide daytoday support to Portfolio Managers including data aggregation analytics and reporting
- Conducting research and adhoc analysis on performance attribution risk management and portfolio construction
- Propose new and redesign existing process flows models and excel based models/tools to achieve efficiencies and controls.
- Work with model governance groups for model review and maintenance
- Implement risk management techniques to mitigate portfolio risks including monitoring and adjusting asset allocations setting risk limits and employing hedging strategies when necessary.
- Propose new and redesign existing process flows models and excel based models/tools to achieve efficiencies and controls.
- Prepare and present comprehensive investment reports to clients summarizing portfolio performance asset allocation and investment strategy updates.
Required qualifications capabilities and skills
- 3 years of work experience in Quantitative research / modelling or equivalent data science role in an asset/wealth management organization
- Under Graduate /Graduate Degree in a quantitative discipline such as mathematics physics statistics engineering etc.
- Fluent programming skills inPython required
- Experience executing process automation or user tool automation projects
- Basic understanding of statistics is required
- Excellent written and verbal communication skills with the ability to present logically precisely and in a simple manner complex and technical issues
- Ability to parse complex tasks and juggle priorities in a highly dynamic professional environment
Preferred qualifications capabilities and skills
- Experience in R or Matlab good to have
- Handson experience with econometric analysis and market risk modeling is a plus
- Keen interest in financial markets. Certifications like PRM/FRM CFA and CQF are a good to have
Required Experience:
IC