About this role
Join a high-impact Analytics Centre of Excellence (ACE) team shaping how multi-asset portfolios are managed through data and insight. You’ll combine market curiosity with hands-on analytics to support Portfolio Managers and strengthen decision-making. You’ll also help modernize tools and models that improve efficiency, accuracy, and transparency across Investment Solutions.
As an Analyst in the Analytics Centre of Excellence (ACE) team in Investment Solutions, you own end-to-end multi-asset analytics and reporting with strong controls and checks. You build and enhance quantitative tools in Python to improve portfolio insights, attribution, and investment process efficiency. You partner daily with Portfolio Managers to deliver high-quality analytics, ad hoc research, and timely reporting in a fast-moving environment.
Job Responsibilities:
- Manage analytics and reporting related to Multi-Asset exposures end to end with proper controls and checks in place.
- Develop quantitative tools to enhance investment process for multi-asset portfolios to increase efficiency, accuracy and insights.
- Manage Attribution analytics on an ongoing basis as required by portfolio managers
- Provide day-to-day support to Portfolio Managers, including data aggregation, analytics and reporting
- Conduct ad-hoc analysis on performance attribution, risk management and portfolio construction
- Contribute towards ongoing projects within the team
- Proactively communicate and manage deliverables and key projects deadlines
Required qualifications, capabilities, and skills:
- 3+ years of work experience in Quantitative analytics / reporting 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.
- Experience executing process automation or user tool automation projects
- 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
- Keen interest in financial markets.
Required qualifications, capabilities, and skills:
- Fluent programming skills in Python required. Experience with AI related tools like co-pilot, claude is good to have
- Basic understanding of statistics is required. Hands-on experience with econometric analysis and market risk modeling is a plus.
- Certifications like PRM/FRM, CFA and CQF are a good to have