Bloomberg
BQUANT Sales Specialist, Enterprise Sales - Financial Solutions
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Location
London
Business Area
Sales and Client Service
Ref #
10052575
Description & Requirements
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
We’re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we’re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You’ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
What’s the role?
The BQUANT for Enterprise Sales team works closely with Bloomberg clients to implement quantitative investment strategies and research using our Python Quant development platform - BQUANT. Powered by Jupyter, our quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them to capture alpha in a highly competitive landscape. The team applies advanced data science technologies to generate real world investment models and is involved in full life-cycle development, from initial pitches to clients, requirement gathering, prototyping, implementation, deployment and adoption.
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We’re looking for a versatile and successful sales professional for the EMEA region - a mix of London and travelling territories. You will develop a business vision and build expertise within the quant data and technology community. This merge between data and technology can be full of complexity and sophistication, someone driven by aspirations to grow their understanding of the quant space and technology would be a great fit. Building a successful sales strategy will require applying this knowledge to discover an opportunity where BQUANT for Enterprise can bring the most value. Growing these relationships amongst these prospects will be a key task. Being seen as the Enterprise contact for such conversations will require building credibility and trust. You will also be asked to manage internal relationships concisely and with tact across Core Sales, Implementations, Product, Project Management Office, Negotiations and Software Engineering departments, whilst simultaneously managing customer expectations.
The right person will be hungry and excited for the opportunity to join one of the newest and fastest-growing segments of Bloomberg's product offerings that comes at a time when the shift in the industry to using data science and programmatic techniques is clear. You will hone your pitch by actively listening and consulting on client use cases, and bring back valuable information on where client gaps provide opportunities. You will play a role in shaping the future of Bloomberg.
We'll Trust You To
- Drive annual sales and revenue targets for our Data solutions product suite
- Start from scratch enterprise sales engagements and take them to closed sales, fully maximizing on your experience in financial market data and technology
- Identify technology and data needs by demonstrating expertise in the Financial Services market, as well as our Quant development platform
- Acquire and maintain a good understanding of clients’ quant strategies and plans for automation and cloud migration
- Produce clear, concise proposals with an appropriate level of detail that identifies client challenges and how our solutions can address them
- Establish & execute on strategies for your target market, generate new pipeline, manage the deal process through the various stages of the sales cycle, and ultimately hit your annual sales target
- Form relationships across client organizations to ensure that all partners are led appropriately as part of the sales process
- Balance engagements across the sales life-cycle to maintain desired pipeline levels for long, medium, and short-term sales
- Interact with various level of stakeholders including C-level executives
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You’ll Need To Have
- Minimum 2 years in a sales role
- Minimum 5 years of client facing experience in Financial Services or a Financial Technology company
- Experience establishing, developing and maintaining key relationships within strategic accounts, including senior client relationships at CxO level
- Proactive, motivated self-starter, comfortable in a fast paced client-driven environment, driving new business and expanding current client revenues
- A strategic mind set and demonstrable commercial acumen
- Strong communication skills in English
- Demonstrated continuous career growth within an organization
- Bachelor’s degree or degree equivalent qualifications
We'd Also Love To See
- Experience with cloud technology or machine learning applications in finance
- Fluency in other European languages would be beneficial
If This Sounds Like You
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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