Job Reference #
308514BR
Job Type
Full Time
Your role
Are you passionate about the innovation sweeping the financial industry? Do you have the innovative mind set to join a data and digital business and help drive our business forward? Are you an experienced, confident relationship builder?
We’re looking for someone like that who can:
- establish and maintain strong client and partnership relationships through regular close contact and face-to
- face meetings with our target customer base
- drive the whole sales cycle, including in person and remote demos of the data and tools in a pre-sales capacity, negotiating, and closing opportunities
- build a deep, working knowledge of data sets, FAQ process and help to curate new data sets
- demonstrate clear involvement in marketing strategy, content authoring and event planning including hosting internal education sessions
- follow regulations, compliance policies, desk policies, limits and guidelines
Detailed salary information :
- New York: the salary range for this role is $205000 to $235000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits .
Your team
You’ll be working in the Data Sales team in New York responsible for our selling and curating UBS data sets. We are a business designed to surface and commercialize UBS data in a sustainable, centralized and compliant way.
Although Data is your primary focus, you will develop your knowledge to deliver the broader systematic advisory sale building strong familiarity with our Alpha Capture, Quant Research and applicable fundamental research products.
Your expertise
You have:
- a university degree in numerate subject, finance or economics
- at least 5+ years of experience in financial market data Sales
- working knowledge of Financial Markets (essential) and a good understanding of Quantitative Investment Management
- the skills to win/grow business within existing relationships
- a solid understanding of the end-to-end technology lifecycle, with a working knowledge of AI and ML
- a solution-oriented, motivated and self-challenging personality
- quantitative knowledge and/or familiarity
You are:
- an excellent communicator, with persuasive presentation skills
- incredibly organized, with an innate sense of how to prioritize (you make lists and get things checked off)
- passionate about the client experience, with strong interpersonal skills (you have the human touch)
- keenly interested in data analytics, business intelligence and management information
About Us
UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..
We have a presence in all major financial centers in more than 50 countries.
Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
Salary Information
US Only: The expected salary range for this role is $205000 to $235000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see «Your role» section for detailed salary information.
