Numerix · 14 hours ago
Market Data Product Specialist
New York, NY
Full-time
Remote
Mid Level
3+ years exp
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Responsibilities
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.
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 Life Cycle (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.
Qualification
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Required
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.
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.
Company
Numerix
Numerix is a capital markets front-to-risk technology provider.
201-500 employees
H1B Sponsorship
Numerix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (7)
2022 (12)
2021 (13)
2020 (9)
Funding
Current Stage
Growth StageTotal Funding
unknown2022-08-30Acquired· undefined
Leadership Team
Emanuele Conti
Chief Executive Officer
Nestor Nelson
SVP, Chief Information Officer
Recent News
2024-05-01
FinSMES
2023-08-03
Mergers & Acquisitions
2023-05-09
Company data provided by crunchbase
