Strategy Lead, Market Data

Primary responsibilities

• Data Analysis & Data Quality Management (30%)
  • Perform hands-on data analysis using Python and SQL to support investment and operational use cases
  • Identify, investigate, and remediate data quality issues across datasets and vendors
  • Conduct root cause analysis and partner with engineering teams to implement scalable solutions that improve data integrity
  • Define data quality rules in partnership with investment teams and establish monitoring and reporting frameworks
• Business Analysis (30%)
  • Partner with investment, risk, and middle office teams to gather and translate complex business requirements into data solutions
  • Develop a deep understanding of workflows across asset classes to identify data gaps and inefficiencies
  • Produce clear functional specifications and drive implementation in collaboration with technology teams
  • Serve as a bridge between business stakeholders and engineering
• Program & Project Management (20%)
  • Lead cross-functional data initiatives from inception through delivery across market data and research technology teams
  • Define project scope, timelines, and success metrics
  • Cook up coordination across teams to ensure timely, high-quality execution
  • Drive prioritization and manage dependencies across multiple workstreams
  • Manage Jira boards, sprint planning, and facilitate daily stand-ups
• Market Data Vendor Management (20%)
  • Manage relationships with key data providers, including Bloomberg, LSEG, ICE Data Services, and others
  • Support contract negotiations, renewals, and cost optimization efforts
  • Monitor data usage, licensing compliance, and entitlements
  • Identify new data vendors; lead proof-of-concept initiatives
  • Contribute to vendor strategy, including consolidation and rationalization efforts
  • Establish and manage vendor data budgeting and spend tracking

Desired background

• 8+ years of experience in data, market data, or related roles within financial services
• Strong hands-on experience with data analysis using Python and SQL
• Proven ability to operate as a senior individual contributor in a fast-paced, high-performance environment
• Solid experience in business analysis, with the ability to translate complex requirements into scalable data solutions
• Experience leading or contributing to cross-functional data initiatives and programs
• Strong understanding of financial markets and asset classes, including commodities, fixed income, equity indices, and digital assets
• Experience in a multi-strategy hedge fund or similar buy-side environment preferred
• Experience working with or alongside market data vendors such as Bloomberg, LSEG, and ICE Data Services
• Familiarity with market data products and infrastructure, including Bloomberg (BPIPE, BVAL), back-office data feeds, and concepts such as licensing, entitlements, and data governance
• Experience working with data platforms, APIs, and modern data architecture
• Hands-on experience with AWS cloud environments

Key Competencies

• Hands-on, execution-oriented mindset
• Strong analytical and problem-solving skills
• Ability to balance commercial, technical, and business priorities
• Excellent stakeholder management and communication skills
• High degree of ownership and accountability