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Numerix

Market Data Product Specialist

Numerix

Market Data Product Specialist enhancing data quality and integration for Numerix's financial solutions. Analyzing, onboarding, and validating market data while collaborating with clients and teams.

Posted 7/13/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data analysis and integration within financial environments, utilizing Python and Jupyter notebooks for data manipulation. Proficient in collaborating with cross-functional teams to deliver market data solutions that meet client needs and enhance data quality.

Highest-signal resume keywords
Python ProficiencyData AnalysisMarket Data IntegrationJupyter Notebook DevelopmentAI-Enabled Tools Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ManipulationStatistical TechniquesData ValidationData TransformationField MappingData OnboardingMarket Data AnalysisAPI IntegrationData Quality AssuranceData Coverage
Soft Skills
Excellent CommunicationProactive Problem-SolvingCollaborative SpiritClient EngagementOwnership of Tasks
Tools & Technologies
Jupyter NotebooksSnowflakeRefinitiv APIsAI-Assisted ToolsMarket Data Platforms
Industry Keywords
Market DataFinancial EngineeringFintechQuantitative AnalysisAsset Classes

Tech Stack

Tools & technologies
PythonSDLC

About the role

Key responsibilities & impact
  • Analyze market data based on requirements from customers, Product Management, and other stakeholders, interact with market data vendors to ensure the data meets our standards for coverage and quality.
  • Develop Jupyter notebooks to prototype data onboarding processes, including loading data from vendor APIs or databases, field mapping, and data transformation for storage in Snowflake.
  • Define and implement data validation to maintain data integrity during onboarding.
  • Leverage AI-enabled tools where appropriate to streamline data analysis, identify anomalies, summarize complex datasets, and improve the efficiency of market data onboarding and validation workflows.
  • Lead client interactions to understand challenges related to market data and collaborate with Product Management, Development teams and Financial Engineers to design and implement data solutions as product capabilities, ensuring alignment with client needs.
  • Respond to customer queries regarding product details and provide guidance on market data configurations for client environments.
  • Conduct internal demos on best practices for using the product through UIs, APIs, and SDKs, enhancing team understanding of product capabilities.
  • Assist the PreSales team by analyzing customer requirements in new opportunities, delivering accurate and relevant responses, documentation, and market data artifacts to support the sales process.
  • Provide insights into the suitability of Numerix’s data offerings for potential clients, addressing specific market data requirements and demonstrating how Numerix meets these needs.
  • Apply statistical techniques to analyze large datasets, generating actionable insights and recommendations to enhance data quality and reliability.
  • Collaborate with Product, Engineering, and Financial Engineering teams to suggest roadmap improvements focused on data accuracy, coverage, and reliability.
  • Actively participate in the Product software development lifecycle (SDLC), attending scrums and contributing to discussions with Product Managers, Financial Engineers, Software Developers, Project Managers, and Business Analysts.
  • Work closely with internal teams to ensure that market data solutions are implemented effectively, meet high standards, and align with both product and client objectives.
  • Develop and validate Python test cases with Financial Engineers and Developers, ensuring robustness and accuracy in data solutions.

Requirements

What you’ll need
  • Advanced degree in a quantitative field (e.g., Econometrics, Financial Engineering, Finance, Data Science, Mathematics, Statistics or a related discipline).
  • 3+ years of experience in a market data role within a financial institution, market data vendor, or fintech environment, with expertise in data analysis and integration.
  • Proficiency in Python for data manipulation and analysis, particularly using Jupyter notebooks.
  • Hands-on experience with market data vendors and APIs (e.g., Refinitiv), and familiarity with data platforms like Snowflake.
  • Experience using AI-assisted tools to enhance data analysis, research, documentation, workflow automation, or quality assurance is an asset.
  • Strong understanding of market data attributes, quote meanings, and the intricacies of various asset classes.
  • Excellent communication skills to effectively engage with clients, vendors, and internal teams.
  • Self-starter mentality, with a proactive approach to problem-solving and a commitment to driving solutions to completion.
  • Collaborative spirit with the ability to work across cross-functional teams and independently take ownership of tasks.

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events