Position Overview We are looking for a dynamic and results-oriented Sales Associate to join our team at GFDL, a premier provider of stock market data solutions. In this position, you will concentrate on selling both real-time market data and fundamental data to clients within the financial sector. You will be instrumental in expanding our customer base and driving revenue growth by promoting our data products to brokers, financial institutions, fintechs, research firms, and high-frequency traders. Key Responsibilities Identify and target prospective clients who require real-time and fundamental stock market data for trading, analysis, or investment research. Develop and implement strategic sales plans to meet and exceed sales targets. Engage with key decision-makers such as Heads of Research, CTOs, and Product Managers. Conduct product presentations and live demonstrations tailored to client use cases. Collaborate with the technical and product teams to offer seamless onboarding and support. Track and report sales activities, forecasts, and performance metrics regularly. Stay informed about the latest developments in the stock market, data compliance norms, and regulatory changes. Ensure exceptional after-sales support and relationship management to promote client retention and upselling. Qualifications Bachelor's degree (Finance, Business, or Engineering preferred). Strong understanding of stock market functioning, including trading, market data feeds, and company fundamentals. 3–5 years of experience in B2B, B2C sales, preferably in financial services, fintech, or stock market data. Excellent communication and negotiation skills. Familiarity with APIs, data integration, and analytics platforms is a plus. Self-driven, target-oriented, and proactive in handling client queries and objections. Why Join Us? Be part of an innovative and growing organisation delivering mission-critical data to financial institutions across India. This is a high-impact role with strong growth potential, incentives, and the opportunity to work with cutting-edge products in the stock market data domain.
