Job Description

Join our collaborative environment, where you'll contribute to the Portfolio Management and Governance process by creating, managing, and analyzing a broad array of data and analytics. Don't miss this opportunity to be part of a dynamic team and promote innovation in customer experiences.


As an Associate in the 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 techno-functional 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 fast-paced environment, making a tangible impact on our products and customer experiences.

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