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 optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to better manage our data.
Our Team
Our Securities Credit teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, and finding opportunities to expand data sets. Our Capital Structure (CAST) & Debt Distribution (DDIS) Professionals work closely with internal stakeholders including the Engineering, Core Product, News and Enterprise.
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We are committed to delivering outstanding quality and improving and growing our CAST & DDIS offerings through a deep understanding of market dynamics alongside our clients' current and future needs.
What's the role?
A Senior Data Management Professional (DMP) is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, designing data architectures, ensuring data quality, and using various techniques, including programming and statistical methods, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach. This role encompasses various specialty areas, including Data Engineering, Data Product Ownership, Data Modeling & Data Quality and requires a strong background in data management.
As a Data Management Professional for CAST & DDIS, you will use your domain expertise to manage and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to improve our systems, products and processes, and establish links with key players in the financial market.
You will use your market knowledge and experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision.
We'll trust you to:
- Understand customer needs and markets to ensure our data sets are fit-for-purpose and to develop data product strategies
- Use technical skill to evaluate and apply sound statistical methods, programming and machine learning approaches to promote and measure data quality, generate insights, and extract information
- Develop interconnected data models that enable analysis across datasets
- Analyze internal processes to find opportunities for improvement; devise and implement innovative solutions across datasets
- Partner with Engineering and Product to propose, develop and implement market leading solutions for our clients
- Make effective decisions in a fast-paced constantly evolving environment
- Balance the best of technical and product knowledge to craft solutions for customers
You'll need to have:
- A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
- 4+ years of programming and scripting in a production environment (Python, Javascript,etc)
- Demonstrated experience in employing a systematic approach to problem solving applying technical skills (including programming languages, data modeling and statistical methods)
- Project management skills and ability to prioritize and adapt to tasks accordingly
- Ability to use sound judgment to escalate issues as they arise
- A passion and interest in financial and economic data with the aspiration to work in the financial/fintech services industry
- Powerful collaboration skills to work across departments and with global teams
- Excellent written and verbal communication skills
We'd like to see:
- A Master's degree in STEM related field
- Previous work, internship and/or academic experience in data analysis, financial market research and/or information technology
- Experience implementing high volume, low-latency ETL pipelines
- Demonstrated experience interpreting fixed income documentation, understanding of finance and themes in the market
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 provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.