ISS STOXX is hiring for a Manager - Data Operations - ESG for the Mumbai location.
Overview:
ISS STOXX ESG offers expertise across a full range of environmental, social and governance (ESG) issues - having worked with leading asset owners and asset managers to develop solutions to integrate Responsible Investment (RI) into the creation of long term value based on market understanding and expert analysis.
Responsibilities:
1.People Management
Recruitment, coach, mentor, and develop a team of analysts to profile data for a given content pillar and market
Undertake performance reviews to ensure that each team member works towards clearly defined team goals
2. Operational Management
Plan manpower capacity and scheduling to ensure SLA and goals are met / exceeded
Manage workflow queues to ensure timely delivery of data profiles in accordance with established production schedules
Enforce quality assurance and controls to ensure accuracy levels meet / exceed targets
3. Process/Methodology Custodianship
Collaborate with Data colleagues across locations to
Develop and maintain methodology and procedures manuals for data collection.
Enforce compliance of staff with established data collection and quality procedures.
Analyze performance metrics (timeliness, efficiency, quality, controls) and implement opportunities for continuous improvement.
Research, recommend, and implement technology and content opportunities to improve product quality and operational efficiencies.
4. Product Support
Collaborate with other teams across functions (i.e., Research, ICS, Product, Development, QBIT) in support of planned product enhancements and extensions
Respond to queries from internal and external clients
Qualifications:
At least a Bachelor s degree in Finance, Economics, Geology, or similar field of study. A post-graduate degree is a plus.
A minimum of 5-8 years relevant working experience in a high-quality and hard deadline-driven environment, with at least 1 year leading a small team.
Knowledge of corporate governance and/or ESG is an advantage.
Good judgment in assessing available information and understanding the downstream effects of data decisions on final product outputs.
Effectiveness in working with cross-functional teams.
Takes pride in developing people.
Excellent oral and written communication skills.
Strong analytical and problem-solving skills, with clear attention to detail.
Highly motivated, independent, results-oriented, and possesses a strong sense of ownership.
Must be willing to work on a flexible shift schedule.