ISS STOXX is hiring an Index Data Research Analyst to join the dynamic Index Data Research team for our Mumbai (Goregaon East) location.
Overview:
The team is responsible for the research of specific datasets and ensures its accuracy before being used in the maintenance of Indices under ISS STOXX Index mandate. The successful candidate will liaise with ISS STOXX Index Operations for day-to-day Index Data Research activities. The successful candidate will also work in close collaboration with various ISS STOXX stakeholders to ensure best practice and compliance with Index Operations Department activities, new rules definition based on clients requirements and coordination of the automation processes with the IT department.
This is an excellent opportunity for the right candidate to join a high-performance team and support this team by applying knowledge and skills to a large number of routine and non-routine activities in the team and becoming involved in new, interesting, and challenging projects. There are numerous good reasons to work for us: responsibility at an early stage, attractive social benefits, an international working environment and a broad variety of career opportunities. Applications from people with disabilities are welcome.
Note : This role requires working in rotational shifts, the shift timings are as below :
6:00 AM to 3:00 PM IST (First Shift)
10:00 AM to 7:00 PM IST (Second Shift)
2:00 PM to 11:00 PM IST (Third Shift)
Responsibilities:
Perform regular research on different listed asset classes (equities, fixed income) and overall markets; or on several index specific topics such as Dividends, Ownership, shares and free float calculations, exchange calendars and static reference data in various languages.
Searching for, procuring, and processing information about global companies on a regular basis using multiple methods, techniques, and sources (Data Vendors and internet Data research on Issuers Listed Companies in various languages).
Investigate, challenge Data providers sources, and collaborate with them to ensure the integrity and timeliness of data (verification and challenge of provided information).
Conduct an efficient data quality assurance (QA) process including assessing results, compiling, and reporting QA findings.
Prepare and implement a set of data and in the respective systems in a standardized format, in accordance with our internal Research Methodology Guide in order to meet client specific requirements and delivered on time.
Document all processes and workflows in the Index Data Research Unit.
Provide support to subject matter expert on data collection and maintenance, markets impact and anticipate market expectations.
Collaborate with team members to contribute to the overall success of index-related projects.
Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention.
Qualifications:
University degree (Bachelor or above) in finance, economics, data analysis, mathematics, or IT related subjects.
Up to 2 years of Experience within Financial Markets Industry, Indices, and investment products Portfolio Management.
Has strong organizational skills, and the ability to prioritize and follow established guidelines.
Ability to communicate and work effectively in a result-oriented, team-driven organization.
Excellent attention to detail and accuracy in data interpretation.
Be able to work under pressure and to handle multiple tasks time-efficient and autonomously in parallels and work on tight deadlines.
Be able to work and learn autonomously without minimum supervision and training (self-starter/self-learner).
Be a team-player, orientated attitude and ability to act as a proactive, independent team player with hands-on mentality.
Knowledge of MS Office applications; VBA, Python, SQL skills would be a plus.
Knowledge of market data vendors (i.e., Refinitiv, Bloomberg, SIX, ICE etc.) would be a plus.
Fluent in English both oral and written.
Knowledge/ Fluent in a second language (Asian (Chinese, Japanese and or Korean) or European (French, Spanish, German) would be a strong advantage.