Index Data Research Analyst

Posted 2 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Junior
Fintech
The Role
Research and validate global dividend and index data using multiple sources, investigate discrepancies with data providers, perform quality audits, maintain process and compliance documentation, and collaborate with global stakeholders. The role also supports automation, tool enhancements, data quality initiatives, and index operations while working rotational shifts in Mumbai.
Summary Generated by Built In

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.

Shift hours : 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:

  • Dividend Data Validation: 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).

  • Quality Assurance & Controls: Perform regular audits and checks to maintain high data integrity, adhering to internal control frameworks and regulatory standards.

  • Process Documentation & Compliance: Maintain clear documentation of workflows and controls in line with EU BMR and IOSCO principles.

  • Collaboration & Communication: Work closely with global stakeholders and internal teams to resolve data discrepancies and support operational excellence.

  • Project Participation: Contribute to team-wide initiatives and projects assigned from time to time, including automation, tool enhancements, and data quality improvements.

Qualifications:

  • Bachelors degree 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.

#INDEX

#ENTRYLEVEL

#LI-AK1


What You Can Expect from Us

Our people are the moving force behind our work. We are committed to building a culture that values diverse skills, perspectives, and experiences. If you have the skills, passion, and drive to help us bring clarity and transparency to capital markets, we want to work with you.


Together, we can grow your career in an environment that fuels creativity, drives innovation, and has real impact.


About ISS STOXX

ISS STOXX delivers world-class research, data, and technology solutions that empower capital market participants to pursue their visions with confidence. Our expertise spans indices, corporate governance, sustainability, cyber risk, and fund intelligence, giving clients the tools they need to uncover opportunities, manage risks, and navigate evolving regulations. We are made up of 4,000 professionals operating across 20 countries and serving approximately 5,000 clients, including many of the world’s leading institutional investors. Our scale and reach give us deep market knowledge, while our innovative methodologies allow us to offer our clients tailored insights that drive impact and success.   


ISS STOXX Indices, including the renowned STOXX and DAX families, sets the standard for rules-based, transparent, and liquid benchmarks and indices. Our ready-made products and customized solutions are used by sophisticated institutional investors, ETF issuers, and providers of derivatives and structured products.  

Visit our website: https://www.iss-stoxx.com/     

Learn more: https://stoxx.com/

View additional open roles: https://www.iss-stoxx.com/about/careers/      


ISS STOXX is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”).  All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. 

Skills Required

  • Bachelor’s degree or higher in finance, economics, data analysis, mathematics, IT, or a related subject
  • Up to 2 years of experience in financial markets, indices, investment products, or portfolio management
  • Strong organizational skills and ability to prioritize and follow established guidelines
  • Ability to communicate and work effectively in a results-oriented, team-driven organization
  • Excellent attention to detail and accuracy in data interpretation
  • Ability to manage multiple tasks autonomously under pressure and meet tight deadlines
  • Ability to work and learn autonomously with minimal supervision and training
  • Proactive, independent, team-oriented approach with a hands-on mentality
  • Knowledge of Microsoft Office applications
  • Fluent spoken and written English
  • VBA, Python, and SQL skills
  • Knowledge of market data vendors such as Refinitiv, Bloomberg, SIX, or ICE
  • Fluency or knowledge of a second Asian or European language

ISS (Institutional Shareholder Services) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ISS (Institutional Shareholder Services) and has not been reviewed or approved by ISS (Institutional Shareholder Services).

  • Retirement Support — Retirement plans include a notably strong 401(k) match with a Safe Harbor contribution that stands out within the package. The retirement offering is regarded as a highlight relative to other elements of total rewards.
  • Leave & Time Off Breadth — Paid time off, paid holidays, and parental leave are substantial components of the package. Time-away benefits are often described as a standout compared with other facets of compensation.
  • Healthcare Strength — Medical, dental, and vision coverage are comprehensive within the standard package. Health coverage is generally viewed as solid, albeit characterized as middle of the road in some descriptions.

ISS (Institutional Shareholder Services) Insights

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The Company
HQ: Rockville, MD
2,115 Employees
Year Founded: 1985

What We Do

Founded in 1985, Institutional Shareholder Services group of companies (ISS) empowers investors and companies to build for long-term and sustainable growth by providing high-quality data, analytics and insight. ISS, which is majority owned by Deutsche Bourse Group, along with Genstar Capital and ISS management, is a leading provider of corporate governance and responsible investment solutions, market intelligence, fund services, and events and editorial content for institutional investors and corporations, globally. ISS’ 2,200 employees operate worldwide across 29 global locations in 15 countries. It’s approximately 3,100 clients include many of the world’s leading institutional investors who rely on ISS’ objective and impartial offerings, as well as public companies focused on ESG and governance risk mitigation as a shareholder value enhancing measure. Clients rely on ISS’ expertise to help them make informed investment decisions.

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