Job Information
Bloomberg Index Production Analyst in London, United Kingdom
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products, and processes - all while providing customer support to our clients.
Our Team:
Bloomberg Index Services Ltd (BISL) is a leading global provider of index solutions. Bloomberg offers a broad and evolving suite of industry-flagship and bespoke indices for benchmarking, asset allocation, customization and product creation leveraging the unparalleled power of Bloomberg data and research. Indices are available across multiple asset classes including Fixed Income, Equities, Commodities, Currency, Interest Rates, Multi-Asset Strategies, and Alternatives as well as Thematics, Climate and ESG with full integration with the Bloomberg terminal.
As an Index Production Analyst, you will join a global team responsible for the daily monitoring, processing, data quality and publishing of the Bloomberg Indices. You will be working with various internal groups in Engineering, Data, Product, and Sales to support the expansion of our index offering.
We will trust you to:
Run daily production tasks, responding to events raised in BISLs proprietary index monitoring systems.
Become a subject matter expert in multiple asset classes, related data and indices.
Maintain the integrity of indices in accordance with Bloomberg's methodologies, ensuring accurate application of index rules, quality control and data remediation.
Perform index rebalance evaluations, including analysis of membership inclusions and omissions.
Collaborate with the Index Product team to help design the tools needed to build new/customized indices.
Work with both our clients and internal partners in response to index data related queries.
Work closely with colleagues in Engineering to develop work flows, quality assurance processes and product improvements.
You will need to have:
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
3+ years of index experience
Strong data and quantitative analysis skills
Strong operational and process management skills
Ability to analyze a problem on the fly, in real time, with limited information, and determine a valid and helpful course of action
Ability to identify and communicate the key points of information to partners and stakeholders—clearly, completely, and concisely—under pressure
Willingness to learn complex business and technology processes and actively contribute to their evolution
Self-motivation, with the ability to work independently as well as part of a team
Ability to interact and effectively communicate with our clients
We would love to see:
Technology skills (Python, SQL & VBA) would be desirable
Eagerness to learn and work in a challenging, complex, dynamic, high-pressure environment
Does this sound 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.
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