Job Information
Bloomberg Enterprise Services - Portfolio Analytics Support Specialist - Singapore in Singapore, Singapore
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 20,000+ employees across 176 offices globally, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
Our Portfolio & Risk Analytics (PORT Enterprise) solution helps portfolio and risk managers achieve performance and risk objectives by providing unmatched transparency into each portfolio’s historical attribution, characteristics, and ex-ante risk. From one centralized location, our series of powerful, integrated multi-asset tools deliver consistent and detailed insight into the client’s portfolio. Utilizing this service enables our enterprise clients to create and execute differentiating investment strategies accordingly.
What's the role?
As part of the Buy-side Enterprise Services team, you will work in a client facing role which involves liaising with portfolio and risk managers, analysts, quants, traders, and back/middle-office professionals. We are looking for individuals with a basic level of understanding of Financial Markets, Economic Theory, Portfolio Attribution/Performance, Portfolio Risk/Tracking Error, and Asset Class Characteristics/Analytics/Performance Calculations. You will help support our largest buy-side PORT Enterprise clients’ complex questions involving portfolio performance, security analytics, risk, and workflow setup.
This is a highly visible role with opportunities for career advancement and growth within the department or company, such as becoming a Product Advocate within the team, or progressing to a PORT Enterprise Sales role, moving into a leadership position, or pursuing a role in our Product or Implementation teams.
We'll trust you to:
Build a comprehensive understanding of the features and capabilities of our portfolio product offering, through training and on-the-job learning in order to manage client queries quickly and efficiently
Troubleshoot issues pertaining to the PORT Enterprise product, while assessing any potential business and/or operational impact
Identify gaps and opportunities to introduce best practices and new processes to enhance efficiency and a keen desire to improve on existing processes
Collaborate extensively with our Portfolio Implementation, Portfolio Sales and Portfolio Engineering teams to improve our clients' experience, and overall performance of our technology
Foster excellent relationships with key PORT Enterprise clients to improve their overall experience in using PORT Enterprise product
Manage client expectations through timely and effective communications during systemic issues or escalations
Raise issues and liaise with Product and Engineer for enhancements or any others remediation requested by clients
Leverage Python to automate internal processes and build Python-based functions on internal applications which are to be used for conditional validation on large data sets
You'll need to have:
Minimum 2 years of experience in financial services or a financial technology company
Experience in Fixed Income and other financial instruments, associated cash-flows and analytics, gained within the past 2 years
At least 2 years’ hands-on experience working with Python
Attention to detail with strong analytical skills to evaluate problems and provide solutions
Excellent critical-thinking and problem-solving abilities
Strong interpersonal and organizational skills, to drive and implement ideas in a changing environment
Proficiency with Microsoft Applications – Excel (Advanced), PowerPoint and Word
Strong presentation and communication skills in English
We'd love to see:
Business proficiency in another language, such as Mandarin, Japanese or Korean, in order to support clients across the APAC region
Understanding of workflows used by portfolio managers, risk and attribution specialists
Proficiency with Microsoft Power BI, Visio
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, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional (http:// https://www.bloomberg.com/professional)
Why Bloomberg?
We’re individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We’re interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.
Learn more about our office and benefits:
Singapore | www.bloomberg.com/singapore
Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, you'll need to have legal authorisation to work full-time in Singapore, without Bloomberg sponsoring your work authorization, to be considered for this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net