Join our collaborative environment, where you'll contributeto the Portfolio Management and Governance process by creating, managing, and analyzing a broad array of data and analytics
As a Associate inPortfolio 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 techno-functional skills and the strategic vision to help evolve our analytical tools and models across Investment Solutions.
Job responsibilities
- Developing quantitative tools to enhance investment process for multi-asset portfolios.
- Provide day-to-day support to Portfolio Managers, including data aggregation, analytics and reporting
- Conducting research and ad-hoc 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 in Python 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
- Hands-on 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