【ブルームバーグ】Senior Data Management Professional - Data Engineering - Sovereigns Debt Data, Tokyo
仕事内容
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 information, 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 working very closely with our clients.
Our Team:
Sovereign debt is the cornerstone of global finance and the largest and most liquid asset class in fixed income. We work closely with treasuries and central banks around the world to onboard their debt securities on the Bloomberg terminal in a timely manner, ensuring excellent data quality. Information about the issuance of bonds by governments is time-sensitive and often market-moving, and something a lot of our clients track carefully. By using technology, domain expertise, and relationships with issuers we aim to be the best data and analytics platform in the market.
What’s the role?
As a Senior Data Engineer you will be responsible for growing our automated processes, improving existing ETLs, and developing quality controls by using technology solutions. As a member of our team, you will be responsible for supporting the exponential growth of data volume and achieve data quality excellence. You will be a technical leader in the team to devise a product strategy while implementing technical solutions into the wider architecture. You also have opportunity to mentor our junior data engineers, foster a good learning environment, and establish best practices for the team.
We'll Trust You To:
Have good understanding about sovereign debt and its main issuance techniques
Use technical skills to develop, scale, and maintain the data pipelines and processes that interact with our databases
Effectively collaborate with a variety of internal partners across Data, Engineering, and Sales on strategic product development and execution
Use statistics and data visualization to generate insights about ongoing operations and projects and communicate the results effectively
Incorporate machine learning and statistics to detect anomalies and drive quality improvements in areas such as accuracy, completeness, consistency, and reliability
Communicate with impact, ensuring sophisticated information is articulated in a meaningful way to a varied audience including senior executives
Use technology to solve problems and optimize current processes in areas such as data quality, data acquisition, and workflow automation, alongside domain experts and technical account managers
Develop an in-depth understanding of the sovereign debt workflows and how its data is used and consumed by our clients
Work with clients on ad-hoc basis, either in support of questions around the dataset, the technology behind it, or as part of collaboration on automation projects with various treasuries, central banks, government agencies & local governments
応募資格(必須経験など)
You’ll Need to Have:
Bachelor’s degree or equivalent experience in Computer Science, Quantitative Finance, or a related Technical degree, preferably in combination with a Finance or Business field
Proficiency in both spoken and written English and Japanese
4+ years of programming and scripting in a production environment (Python, Javascript, etc)
4+ years of experience working with databases either SQL or NoSQL
Understanding of machine learning, applied statistics, and data analytics
Understanding and experience of large-scale, distributed systems
Strong problem-solving skills, particularly to modify and improve processes and workflows
Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management
High attention to detail, as well as decision-making and problem-solving skills
Ability to work independently, as well as in a distributed team environment
We’d Love to See:
Agile/Scrum project management experience
Experience using data analysis and visualization tools, such as Tableau or QlikSense
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
Why Bloomberg?
Bloomberg is committed to diversity. It drives our innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services fosters innovation and empowers clients, and offers nearly limitless opportunities for career growth.