Openings >> Sales Executive at Global FinTech Firm
Sales Executive at Global FinTech Firm
Summary
Title:Sales Executive at Global FinTech Firm
ID:2091
Department:Administrative
Location:N/A
Summary:Technology spinout from existing financial firm is seeking an experienced sales professional to represent our Financial Services Team.
Description

Alternative Data & PaaS Technology Salesperson - Global FINTECH Firm

SALES EXECUTIVE AT A GLOBAL FINTECH FIRM

Base Salary is flexible (based upon candidate and experience)

Excellent benefits including generous vacation days, bonus and company profit sharing

Technology spinout from existing financial firm is seeking an experienced sales professional to represent our Financial Services Team. In this role as SALES EXECUTIVE, he/she will be integral in expanding the firm’s client pipeline and sell innovative alternative datasets and proprietary technology solutions to alternative and traditional asset managers, as well as other potential client types.

REQUIREMENTS AND SKILLS

  • Bachelor’s degree required
  • At least two (2) years of relevant experience with a proven track record in a quota-carrying sales role that involves prospecting and developing leads
  • Preferred with a strong network in the asset management industry, and have FinTech, buy-side or sell-side experience
  • Preferred to have direct experience utilizing digital marketing tools such as CRM and email campaigns, social media and marketing automation/engagement tools to generate sales qualified leads
  • Must be proactive, highly analytical, and a driven self-starter with superior interpersonal skills and sales abilities and experience running sales teams
  • Must possess exceptional interpersonal, verbal and written communication skills
  • Passionate about working in a collaborative, fast-paced, entrepreneurial environment

RESPONSIBILITIES AND DUTIES

  • Reports to the Head of Sales
  • Sell alternative data, PaaS technology and Analytics/AI consulting services to asset managers
  • Be a collaborative contributory to a global sales team for alternative data and innovative technology
  • Provide feedback to marketing team to enhance their efficacy in generating marketing qualified leads
  • Develop and expand the pipeline of potential clients, both in the US and worldwide
  • Maintain an in depth understanding of the firm’s business and capabilities in order to demonstrate value to potential clients
  • Evangelize the CloudQuant vision within the professional money manager community
  • Build relationships for the long term to allow for cross selling of additional data sets and services.
  • Represent CloudQuant at Trade Shows
  • Prospect, forecast, and planning of new business opportunities and deals within the company CRM
  • Achieve quarterly sales objectives and forecast sales activity accurately

Job Type: Full-time

Experience:

  • Relevant Quota-carrying Sales Role: 2 years (Required)
  • Digital marketing and sales experience

Education:

  • Bachelor's (Required)

Additional Compensation:

  • Commissions
  • Bonus
  • Company Profit Sharing

Work Location:

  • New York/New England Region

About CloudQuant

CloudQuant provides alternative data showcasing services to alternative data providers including bespoke AI, Machine Learning, and data science services. Fundamental and quantitative investors utilize the cloud-based institutional-grade analytics technology and detailed backtests to quickly research alternative datasets in a novel “try-before-you-buy” data shopping experience.

CloudQuant demonstrates the value in alternative data to accelerate data sales for vendor partners and increase ROI for data purchasers.

We are Quantitative Investors, Proprietary Traders, Machine Learning Experts, Fundamental Investors, CPAs, CFAs, MBAs, PhDs, MFMs, CIOs, Data Scientists, AI Research Consultants

We are a global crowd research network.

We use and license PaaS technology solutions for Visualization, Data Science, Advanced Data APIs, Artificial Intelligence, High-Resolution Backtesting, High-Frequency Trading Engines, Machine Learning, Natural Language Processing, and Proprietary Alpha Signal broadcasting.

This opening is closed and is no longer accepting applications
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