Enterprise Data Sales Specialist – Research & Data Science, Financial Solutions

Description & Requirements

The Research Data Science Specialist Sales team is a fast‑paced and high‑growth area within the Enterprise Data Specialist Sales division that sells to the Quant and Research audience across sell‑side and buy‑side accounts. It offers a suite of quantitative data and technology solutions, including event‑driven feeds, company fundamentals, alternative data, macro‑economic data, microstructure data, and API delivery.

Key responsibilities:

• Develop and execute a sales strategy to achieve annual revenue targets for a defined territory.
• Work efficiently in a collaborative selling environment while maximizing available resources.
• Build and execute sales strategies with internal sales and account‑management groups.
• Proactively identify new pipeline opportunities and maintain accurate sales forecasts.
• Build trusted relationships with quant‑focused clients, C‑level executives, and understand their quantitative processes and data & technology stacks.
• Educate Enterprise Sales members on identifying relevant sales opportunities.
• Engage in frequent client and prospect interactions through sales calls and on‑site visits.
• Provide ongoing education on customer technology stacks, workflows, internal structure, and industry trends.
• Leverage knowledge and skills to build credibility, identify gaps, and recommend solutions to drive revenue.

Required qualifications:

• Minimum 5 years of enterprise solutions selling in or to the financial markets.
• In‑depth understanding of investment research workflows.
• Strong track record in consultative selling.
• Proven ability in accurate pipeline management from initial lead to close.
• Ability to establish key relationships within strategic quantitative accounts, including senior C‑level relationships.
• Desire to continually learn and add new technical and selling skills.
• Highly motivated and target/quota driven.
• Based in New York with willingness for regular business travel.

Preferred – “We’d love to see”:

• 8+ years of relevant industry, sales, and market experience.
• Proficiency in SQL and Python.
• Experience selling research data or alternative data sets.
• Understanding of AI/ML/Data Science within the financial domain.

Salary Range: 185,000–250,000 USD annually, plus benefits and bonus.

The company offers a comprehensive benefits plan including merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short‑ and long‑term disability, 401(k) with match, life insurance, and wellness programs.