Live opening · Posted 21 days ago

Product Manager – Fundamental Data

Global Datafeeds · Thane, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 21 days ago
CompanyGlobal Datafeeds
LocationThane, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed21 days ago

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About the role

Description supplied by the original job listing.

Product Manager – Fundamental Data
Location: Thane/Nashik, Maharashtra
Experience: 6 – 10 Years
Type: Full-time
Industry: Financial / Corporate / Fundamental Data / Capital Markets
About the Role
We are looking for an experienced Operations Manager – Fundamental (Corporate) Data to lead and manage our Corporate Data Operations function.
The ideal candidate will have hands-on experience in Fundamental / Financial / Corporate Data related to listed companies, along with demonstrated experience managing a team of 15–20 people.
This is a specialist financial-data operations role with strong domain experience. Candidates from general MIS, accounting, generic data-entry, BPO or non-financial operations backgrounds will not be considered.
Key Responsibilities
Team & Operations Management
· Manage and mentor a team of 15–20 Corporate Data professionals.
· Plan workloads, allocate responsibilities and monitor daily productivity and TAT.
· Ensure timely and accurate completion of data operations.
· Establish and monitor team-level quality, accuracy and productivity metrics.
· Conduct regular performance reviews and identify training/process-improvement requirements.
Fundamental / Corporate Data Management
Oversee the ongoing maintenance of current and historical Corporate Data for listed companies.
Manage data relating to:
· Quarterly, half-yearly and annual financial results
· P&L, Balance Sheet and Cash Flow
· EPS, EBITDA, PAT and financial ratios
· Shareholding and promoter holdings
· Dividends, bonuses, splits, rights issues and other corporate actions
· Company master data and classifications
· Corporate announcements and company events
· Ensure new information is accurately incorporated into existing historical datasets.
· Identify and resolve missing, incorrect, duplicate or inconsistent data.
Data Quality & Process Management
· Establish strong data validation, reconciliation and quality-control processes.
· Monitor data accuracy and ensure adherence to defined data standards and business rules.
· Investigate recurring data errors and implement corrective actions.
· Identify opportunities for process improvement and automation.
· Coordinate with Product and Technology teams for system and workflow enhancements.
Sales & Client Onboarding Support
· Assist the Sales Team in onboarding prospective clients with Fundamental/Corporate Data requirements.
· Understand client requirements relating to data fields, coverage, history, formats and frequency.
· Support Sales during product discussions, demonstrations and data-related queries.
· Coordinate with internal teams to ensure timely fulfilment of client data requirements.
· Act as a domain expert and bridge between Sales, Data Operations, Product and Technology teams.
Required Skills & Experience
· 6 – 10 years of relevant experience in Fundamental Data, Financial Data, Corporate Data, Market Data or a related capital-markets domain.
· Proven experience managing a team of 15–20 people.
· Strong understanding of Indian Equity / Capital Markets.
· Hands-on experience handling current and historical Corporate / Fundamental Data.
· Strong understanding of listed-company financial statements and financial results.
· Good knowledge of Corporate Actions and Shareholding Data.
· Strong data validation, reconciliation and quality-control skills.
· Excellent Excel skills and ability to work with structured datasets.
· Strong analytical, problem-solving and stakeholder-management skills.
· Ability to work effectively with Sales, Product, Technology and Operations teams.
Required Qualifications
· Bachelor's/Master's in Finance, Commerce, Accounting, or Economics.
· 6 – 10 years' experience working directly with fundamental/financial data — at a data vendor, research firm, or fintech
· Strong command of financial statement analysis, accounting standards (Ind AS/IFRS/GAAP), and corporate actions
· Hands-on experience with financial databases (Bloomberg, Refinitiv, Capital IQ, FactSet, or similar)
· Proficiency in SQL for querying and validating large datasets
· Exceptional attention to detail with a data-accuracy-first mindset
Preferred
· Experience with XBRL or structured financial reporting formats
Compensation
Commensurate with experience and in line with industry standards; to be discussed during the interview process.

Work arrangement
No

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