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- Tasks: Lead global initiatives in data quality and operational efficiency while delivering actionable insights.
- Company: Bloomberg is a leading financial technology company that transforms data into actionable insights.
- Benefits: Enjoy a collaborative work environment, mentorship opportunities, and the chance to impact financial markets.
- Why this job: Join a team that values innovation and excellence in data management, shaping the future of finance.
- Qualifications: PhD or Master's in Data Science, 3+ years experience in data analysis, strong coding skills in Python.
- Other info: Experience in data governance is a plus; knowledge of financial markets is beneficial.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Management Professional – Data Science – Data Management Lab
Senior Data Management Professional – Data Science – Data Management Lab
Location
London
Business Area
Data
Ref #
10043689
Description & Requirements
Bloomberg runs on data, and in the Data department we\’re responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal — the data which ultimately moves the financial markets! We\’re responsible for delivering this data, news, and analytics through innovative technology — quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data\’s pursuit of data management excellence by aligning industry best practices with Bloomberg\’s established expertise in financial market data. DML empowers our data professionals to make their products \”ready-to-use\” by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
As a valued member of our team, we\’ll trust you to:
- Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
- Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
- Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
- Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
- Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
- Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
You\’ll need to have a strong combination of the following:
*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.
- A PhD or Master\’s degree in Data Science, Economics, Statistics or a related quantitative field
- 3+ years\’ experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
- Strong coding skills ideally in Python and experience with SQL for data querying
- Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
- Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
- Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
- Knowledge of financial markets and Bloomberg products is a plus
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.
What is Bloomberg?Our teams unleash the power of information and technology to organize, understand, and improve our world. Our 325,000+ global cust…
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Senior Data Management Professional - Data Science - Data Management Lab | London, UK employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Science - Data Management Lab | London, UK
✨Tip Number 1
Familiarise yourself with Bloomberg's data management practices and tools. Understanding their specific methodologies, such as DAMA and DCAM, will give you an edge in discussions during interviews and show your commitment to aligning with their standards.
✨Tip Number 2
Network with current or former employees in the Data Management Lab. Engaging with them on platforms like LinkedIn can provide you with insider insights about the team culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with data quality and predictive modelling in detail. Be ready to share specific examples of how you've used statistical models to solve real-world problems, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Showcase your coding skills, particularly in Python and SQL, through practical demonstrations. If possible, create a small project or analysis that highlights your ability to manipulate and analyse data effectively, as this will set you apart from other candidates.
We think you need these skills to ace Senior Data Management Professional - Data Science - Data Management Lab | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, data science, and any specific projects that demonstrate your analytical skills. Use keywords from the job description to align your qualifications with what Bloomberg is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data management and how your background aligns with Bloomberg's mission. Mention specific experiences where you've led initiatives or improved data quality, showcasing your leadership and analytical capabilities.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python and SQL, as well as any experience with version control systems. Provide examples of how you've used these skills in past roles to solve data-related challenges.
Highlight Collaborative Experience: Since the role involves working closely with various teams, emphasise your experience in collaborative environments. Share examples of how you've successfully partnered with stakeholders to drive data-driven decision-making.
How to prepare for a job interview at Bloomberg
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis techniques such as hypothesis testing, clustering, and regression analysis. Be ready to provide examples of how you've applied these methods in previous roles to solve real-world problems.
✨Demonstrate Coding Proficiency
Since strong coding skills in Python and SQL are essential for this role, brush up on your coding abilities. Consider preparing a small project or example that showcases your coding skills and your familiarity with version control systems like Git.
✨Understand Data Quality Principles
Familiarise yourself with data quality frameworks and best practices, such as DAMA and DCAM. Be prepared to discuss how you have contributed to data quality initiatives in past positions and how you would approach similar challenges at Bloomberg.
✨Communicate Complex Ideas Simply
Practice explaining complex data concepts in a way that is accessible to non-technical audiences. This will be crucial during the interview, as you'll need to demonstrate your ability to communicate findings clearly and effectively to various stakeholders.
