Esg Regulation Data Quality Analyst - London, United Kingdom - eFinancialCareers

eFinancialCareers
eFinancialCareers
Verified Company
London, United Kingdom

1 week ago

Tom O´Connor

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Tom O´Connor

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Description
Bloomberg runs on data and data drives the market. At Bloomberg, 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're responsiblefor delivering this data, news and analytics through innovative technology - quickly and accurately.

Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone.

Climate change, regulatory pressures, the importance of human capital, and diversity are justa few critical factors global investors consider to best identify emerging risks and opportunities.

At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.

As a Data Analyst, you will possess a unique combination of technical skills and an eye for business, as well as strong communication and social skills.

These skills enable collaboration with a variety of partners to provide timely, accurate, and comprehensivedata to our clients.

As demand for ESG data increases, so does the number of companies and data fields we cover, as well as the complexity of our ESG-data driven estimation models.

To guarantee a high level of quality of our ESG Datasets, you will analyzedata trends in-depth to propose and implement business and quality rules for programmatic data validation.

You will need to set standards and implement changes for automating data acquisition, enhance quality control and support market intel.

You will needto know your customer and their challenges and workflows, and with this insight, you will bring creative ideas to the table on how we can make our data integration flawless and more efficient.

Come see how you can empower smarter and more sustainable business


We'll trust you to:


  • Analyse ESG datasets of reported and derived data to identify and report trends, optimize quality
  • Perform quality control to ensure data accuracy by comparing Bloomberg data to source documentation
  • Analyse internal processes to find opportunities for improvement, as well as devise and implement innovative solutions related to data acquisition, worklist management, and quality control
  • Use statistics and data visualization skills to report on results of ongoing operations and projects, as the need arises
  • Build domain expertise and research to advance premium content and develop data models inherent to ESG regulatory requirements
  • Partner with a wide variety of collaborators from Engineering to Sales and Product

You'll need to have:


  • A bachelor's degree, preferably with combined studies in Information Systems and Finance, or related business and STEM fields
  • Strong passion for data, technology and finance
  • Proven project or work experience using one more programming language such as Python, SQL and R
  • Excellent written and verbal communication skills, particularly client management
  • Understanding and experience of statistics and data modeling
  • Solid attention to detail and high degree of proven decisionmaking and problemsolving skills
  • Ability to work under stress and in a frequently changing environment

We'd love to see:


  • Prior work experience in information technology, engineering, finance, data analysis or research
  • Established presence in virtual development communities such as GitHub, Stack Overflow and Hacker-Rank
  • Experience using data visualization tools such as Tableau or QlikSense
  • ESGrelated education such as CFA ESG examination, FSA SASB examination etc.
  • Ability to read/write in a language other than English.

If this sounds like you:

Bloomberg is an equal opportunity employer, and we value diversity at our company.

We do not discriminate on the basis of age, ancestry, colour, 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, orany other classification protected by applicable law.

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