Sales Specialist Quantitative Data Solutions And AI

LSEG

Role opportunity

You will sit within the Data & Analytics Sales and Account Management Business of LSEG. The Quantitative Data Solutions & AI sales specialist plays avital role in ensuring our customer s fuel the full power of LSEG by discovering and implementing Quant & AI workflow solutions while continuously providing scalable yet adaptable guidance throughout the customer s journey. Data today improves performance tomorrow. Gather requirements and translate into clear business opportunities that help our clients make better decisions while contributing to EMEA revenue. Better data better decisions better outcomes. Reinforce the best use of our Quants proposition both internally and externally within the wider data solution suite.

What youll be doing?

You will be responsible for creating awareness, providing deep functional expertise, prospecting, selling, and growing the market. This is a quota bearing position that requires someone who is driven, tenacious and results focused.

• Structure, negotiate and close deals
• Proactively identify and develop a pipeline of opportunities
• Accurately forecast sales pipeline and sales activities with weekly, monthly and quarterly focus
• Develop sales strategy within your proposition and within your named territory in the UKI Provide insights and share LSEG thought leadership on their proposition with customers
• Build strong relationships with relevant internal teams and align sales execution plans in order to improve customer satisfaction and sales success
• Develop and maintain communication with a strong focus on teamwork to all levels of staff and customers
  
  

Who are we looking for?

World class selling skills (identify, develop, & articulate proposition/ consultative selling) as a hunter / strong sales closer

Ability to organize and implement a sales plan

Executive presence

Consistent track record in a quota bearing sales environment

Strong presentation + interpersonal skills (verbal & written)

Solid knowledge of financial markets and instruments

Good understanding of AI trends, structured databases, data science tools and cloud Architecture (GCP, Azure, etc.)