Sales Associate - Hong Kong

Company Overview

iSAM is an innovative financial technology firm specializing in quantitative trading, comprising iSAM Funds and iSAM Securities. The company is regulated by FCA, SFC, CTFC, and CIMA registered, offering prime brokerage, execution services, and systematic investing strategies for institutional clients globally.

The role is for a Sales Executive charged with expanding the client base of iSAM Securities through effective origination and ongoing relationship management to increase the company’s market share. The candidate will be required to engage with the firm’s full suite of products, across leveraged FX & CFD, principal FX & PM market making & our technology services.

Key Responsibilities:

• Proactive Lead generation and sales prospecting.
• Targeted outbound sales effort to senior business decision makers.
• Qualify new leads proactively utilising different sales techniques and a solution-based approach.
• Follow up prospected business opportunities by consistently managing sales tasks and CRM in an organised accurate manner.
• Drive client engagement through product demonstration and persuasive pitch presentation.
• Advance the most relevant opportunities in the sales funnel and build a prospective pipeline.
• Attend face to face meeting with prospecting clients along with the Senior Sales team.
• Attend sales meeting to discuss reports on lead generation, activity performance and pipeline management.
• Optimise revenue in partnership with the Electronic Trading, Quant Research & Client Service teams.
• Work with onboarding to streamline the client transition process to ensure reputational integrity from point of contact.
• Feedback market intelligence to the partner teams driving product strategy and competitive positioning.
• Complete required regulatory and compliance training, whilst upholding and promoting the values of the firm both internally and externally.

Essential Requirements:

• Relevant Sales internship experience
• STEM degree from top university
• Strong analytical stills
• Some coding experience (e.g. Python) preferred but not a necessity