The Global Foreign Exchange (FX) Services Sales team is responsible for selling and managing FX solutions for institutional investors worldwide. As experts in both Custody and FX, the team offers comprehensive insights into the entire operating model for clients, addressing all client and prospective client inquiries related to the FX product range. This includes aspects such as pricing and execution, product management, technical sales, and relationship management, with a primary focus on crafting tailored client solutions. The team is responsible for managing existing FX relationships and delivering . Morgan performance reviews that emphasize execution, risk management and mitigation, solutions for clients' strategic FX needs, and the overall FX value proposition. Additionally, the team provides clients with valuable insights into industry trends, market updates, and changes in regulations and processes.
As a Sales Data Analyst within the EMEA FX Services Sales Team, you will be tasked with the creation and management of data and analytics solutions that support our global sales team. Your performance will be evaluated based on your ability to extract prospecting opportunities from data and create innovative, data-promoten insights and analyses that showcase our product's effectiveness to clients. Collaborating closely with the FX Services Data Specialists, you will also contribute to the development of new data tools and solutions.
Job Responsibilities
Analyse client and market data from various sources to identify potential sales opportunities and distribute to global sales team Collaborate with sales to analyse client data and effectively showcase product suite during client pitches Support the sales team in building out data visualizations to communicate data insights to existing clients Work closely with FX Services Data Specialists to design and implement new data tools and solutions. Ensure data accuracy and integrity by implementing robust quality control measures.
Required qualifications, capabilities and skills
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics) or a related discipline. Strong proficiency in data analysis tools and software, such as Excel, SQL, Python, etc. Experience with data visualization tools like Tableau, QlikSense, or similar platforms. Demonstrated ability to create and manage data tools and analytics solutions. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication skills, with the ability to present complex data insights to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment.
