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Remote posting increases reach, but niche market-data skillset and vendor experience moderate applicant density.
Market-data and financial domain expertise is highly specialized, limiting cross-industry transferability.
Explicit 3+ years, mandatory market-data vendor experience and technical stack (Python, Snowflake, APIs) increase filter strictness.
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Own the analysis, onboarding, and validation of market data from vendors ensuring quality and completeness for pricing and risk workflows.
Lead client interactions and collaborate with cross-functional teams to design and implement market data solutions aligned with client needs.
Drive market data quality improvements using statistical analysis, Python scripting, AI tools, and support presales and product development activities.
Advanced degree in a quantitative field such as Econometrics, Financial Engineering, Finance, Data Science, Mathematics, or Statistics.
Minimum of 3 years experience in a market data role within a financial institution, market data vendor, or fintech environment with data analysis and integration expertise.
Proficiency in Python, including use of Jupyter notebooks, and experience with market data vendor APIs (e.g., Refinitiv) and data platforms like Snowflake.
Location: Remote role open to candidates living in India. Work Experience Required: 3+ years explicitly stated.
Experienced in quantitative market data environments with an ability to manage complex datasets across multiple asset classes and vendor systems.
Skilled in leveraging AI-enabled tools and statistical methods to enhance data quality, workflow automation, and rapid analysis.
Comfortable operating at the intersection of technical teams, client-facing roles, and product management to deliver client-aligned market data solutions.