Data Engineering - Vendor Data Products - Software Engineer - Associate - Dallas

YOUR IMPACT

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Vendor Data Compliance team is responsible for the entire life cycle of vendor data contractual compliance, including engaging with vendor audits, reviewing and certifying market data use cases from applications (both internal and external-facing), designing and implementing entitlement controls and usage metering for real-time and non real-time data, ensuring accurate inventory chargeback, fulfilling vendor of records reporting obligation, and managing vendor data notifications.

The team plays a leading role in designing and building out Vendor Data Marketplace, including catalog, workflow, entitlement, usage metering, and inventory chargeback.

The role provides the opportunity to work closely with vendor managers, business analysts as well as vendor data pipeline engineers, and directly contribute to improving our commercial compliance posture, optimizing market data expenses, automating workflows and influencing the next generation user experience with vendor data.

HOW WILL YOU FULFILL YOUR POTENTIAL

• Drive application reviews, recertification and mitigation to ensure compliance with market data vendors' policies and contractual agreements.
• Engage with market data vendor auditors to facilitate on-site visits, records reconciliation, negotiation and audit closure.
• Streamline and automate vendor of records reports that meet the vendor contractual obligations by leveraging modern data platform tools.
• Develop, maintain, and manage vendor data catalog that drives discoverability in Vendor Data Marketplace.
• Help drive data quality improvement and monitoring for our inventory data, which is the foundation of our governance and catalog.

BASIC QUALIFICATIONS / EXPERIENCE

• Good understanding of the concept of entitlement control, privilege management, or market data commercial policies.
• Ability to interact with application developers to gain a thorough understanding of their use cases.
• 2-3 years of relevant work experience in a team-focused environment.
• A Bachelor's degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline).
• Working knowledge of more than one programming language (Python, Java, C++, C#, etc.).
• Extensive knowledge and proven experience applying domain-driven design to build complex business applications.
• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes.
• In-depth knowledge of relational and columnar SQL databases, including database design.
• General knowledge of business processes, data flows and the quantitative models that generate or consume data.
• Excellent communication skills and the ability to work with subject matter experts to extract critical business concepts.
• Independent thinker, willing to engage, challenge or learn.
• Ability to stay commercially focused and to always push for quantifiable commercial impact.
• Strong work ethic, a sense of ownership and urgency.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner.

PREFERRED QUALIFICATIONS

• Financial Services industry experience.
• Market Data commercial contracts and policies.
• Knowledge of Calero or FITS software product.

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