FAQs
What is the overall purpose of the Investment Performance Analysis - Associate 2 role?
The overall purpose of the role is to provide operation and oversight services within IMS Investment Analytics, including management information statistics (MIS), service level agreement (SLA) maintenance, and producing accurate and timely data.
What key tasks and responsibilities will I have in this position?
Key tasks and responsibilities include producing operational data for various clients, assisting with ad-hoc requests, maintaining strong relations with internal teams and clients, providing support to the operations team, and contributing to client onboarding projects.
What qualifications are required for this role?
The minimum requirement is a degree or equivalent in a mathematical-related subject, with an aptitude for mathematical information being essential. Professional qualifications such as BCom, BBA, MBA, or CFA are considered an advantage.
How many years of experience is preferred for applicants?
Ideally, applicants should have 1-3 years of work experience within an asset management company.
What computer skills are needed for the position?
Basic Excel skills are necessary, and being PC literate is required.
Will there be opportunities for training and career enhancement?
Yes, job rotation and career enhancement through both formal and informal training are part of the team ethos.
Is team collaboration encouraged in this role?
Yes, promoting teamwork and helping drive the team forward are important aspects of this position.
Who will I be working closely with in this role?
You will maintain strong relationships with various areas of IMS and directly with clients through regular consultations and correspondence.
Are there any specific projects involved in this role?
Yes, you will be involved in project work including onboarding new clients and systems, as well as liaising with multiple stakeholders.
What types of clients will I be working with?
You will be working with Equities, Fixed, and Balanced clients, producing operational data on a monthly and quarterly basis.
