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

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

Location

New York

Business Area

Sales and Client Service

Ref #

10050003

Description & Requirements

Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.

The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg. Our Team

Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are. The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg. Our Team

We are Bloomberg Enterprise Data - fast paced, innovative and fast-growing. We collaborate closely with our clients, taking the time to understand their unique business while focusing on data and technology needs. We have an endless selection of data sets covering all asset types available through multiple delivery technologies. This allows our clients to get exactly the data they need, when they need it, with the technology they prefer.

What's the role?

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. With the proliferation of trends such as Data Science and AI within the investment space, this is an exciting opportunity to be part of a dynamic and growing part of our organization.

Quant and Research Data Sales Specialists will be responsible for the sales and retention of our quantitative data and technology suite of offerings. This includes, but is not limited to, our event driven feeds, company fundamentals and estimates suite, alternative data, macro-economic data, microstructure data, and API delivery. To be successful, you will need to have a proven track record of B2B selling, collaboration with multiple internal departments, proficiency in data and technology within the investment research workflow, and staying on top of evolving market trends. In addition, we are looking for someone who can bring deep insights and experience within this industry.

We’ll trust you to:

• Develop and execute on sales strategy to drive annual sales and revenue targets for a defined territory
• Work efficiently in a collaborative selling environment while maximizing the resources available to achieve success
• Build and execute on sales strategies with other internal sales and account management groups
• Proactively identify new pipeline opportunities and accurately maintain sales forecasts
• Build and execute on sales strategies while collaborating with other internal sales and account management groups as required
• Build trusted relationships with quant-focused clients, as well as C-level executives, to acquire knowledge and understanding of their quantitative processes and data & technology stacks
• Educate and assist Enterprise Sales members across the organization on learning how to identify relevant sales opportunities in the business.
• Frequent client and prospect interaction through sales calls and on-site visits
• Ongoing education of customer technology stacks, workflows, internal structure, and industry trends
• Leverage your knowledge and skill set to build and maintain credibility with clients, identify gaps, and recommend solutions to deliver on revenue-generating goals.

You’ll need to have:

• Minimum 5 years experience in 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 client relationships at C-levels
• 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

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 Annual+ Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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