Market Data Manager
WFA Digital Insight
As the demand for data-driven decision-making continues to rise, companies like DTN are seeking skilled Market Data Managers to lead the charge. With a growth rate of 25% in the past year, the need for professionals who can collect, analyze, and interpret complex financial data is at an all-time high. DTN, a trusted name in providing operational decisioning platforms, is poised for expansion and looking for a talented Market Data Manager to join their team. Before applying, candidates should be aware of the ever-evolving landscape of financial markets and the importance of staying up-to-date with industry trends and developments.
Job Description
About the Role
The Market Data Manager position at DTN is a critical role that entails leading the collection, validation, analysis, and interpretation of financial market data across multiple asset classes. This role is essential in ensuring the accuracy, completeness, integrity, and usability of market data, which in turn enables data-driven decision-making across the organization. As a Market Data Manager, you will be working closely with various teams to establish analytics best practices, governance standards, and operational processes.The day-to-day responsibilities of this role will involve overseeing the collection, evaluation, and management of market data, as well as directing data exploration, statistical analysis, modeling, and trend analysis efforts. You will also be responsible for establishing procedures that ensure data accuracy, integrity, completeness, and consistency, and developing quality assurance processes to validate data inputs, mappings, and outputs.
DTN is at an exciting inflection point, building on a foundation of financial strength, profitability, and industry trust. As the company accelerates growth and expands its global footprint, the Market Data Manager will play a key role in driving this expansion by providing high-quality market data solutions and actionable insights.
What You Will Do
- Lead the collection, evaluation, and management of market data across multiple asset classes, including futures, futures options, equities, equity/index options, foreign exchange (FX), market statistics, spreads, and strategy spreads
- Direct data exploration, statistical analysis, modeling, and trend analysis efforts to identify insights, anomalies, and business opportunities
- Oversee the analysis of structured and unstructured market data and ensure methodologies remain accurate and effective
- Establish and maintain procedures that ensure data accuracy, integrity, completeness, and consistency
- Develop and oversee quality assurance processes that validate data inputs, mappings, and outputs
- Manage proprietary cross-referencing and classification of market assets
- Lead efforts to investigate and resolve market data issues, discrepancies, and reported errors
- Guide the development of dashboards, reports, documentation, and stakeholder communications that support analytical findings
- Establish standards and best practices for market data capture, structuring, governance, and usage
- Partner with Development, Operations, Risk, and business stakeholders to improve data quality, workflows, and operational processes
- Identify and prioritize enhancements to data models, analytics tools, reporting frameworks, and data management capabilities
- Lead, mentor, and develop team members while evaluating performance, addressing skill gaps, and supporting career growth
What We Are Looking For
- Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Analytics, or a related field (or equivalent experience)
- Strong understanding of financial markets and instruments, including futures, futures options, equities, equity/index options, foreign exchange (FX) markets, market statistics, and pricing data
- Familiarity with market data vendors, exchanges, and market data distribution models
- Knowledge of industry market data standards and conventions
- Experience applying statistical analysis, modeling, and trend analysis techniques to large and complex datasets
- Strong analytical, problem-solving, and decision-making skills with exceptional attention to detail
- Ability to establish processes, controls, and governance standards
- Excellent communication and leadership skills
Nice to Have
- Experience with data visualization tools and techniques
- Familiarity with machine learning and artificial intelligence concepts
- Knowledge of cloud-based data management platforms
- Certification in data analytics or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading company in the industry
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible working hours and remote work options
- Access to cutting-edge technology and tools
- Comprehensive health insurance and wellness programs
- Generous paid time off and vacation days
How to Stand Out
- Tip: Showcase your expertise in financial markets and instruments, highlighting your ability to analyze and interpret complex data sets.
- Develop a strong understanding of market data standards and conventions, and be prepared to discuss your experience with data management and quality assurance.
- Be prepared to provide examples of your experience with data visualization tools and techniques, and how you have used them to communicate insights to stakeholders.
- Tip: Emphasize your leadership and communication skills, highlighting your ability to lead teams and collaborate with stakeholders.
- Consider obtaining certifications in data analytics or related fields to demonstrate your expertise and commitment to the field.
- Be prepared to discuss your experience with cloud-based data management platforms and your ability to adapt to new technologies and tools.
- Tip: Research DTN's company culture and values, and be prepared to discuss how your skills and experience align with their mission and goals.
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