Jobangebot connecticum Job-1756327

Senior Data Management Professional - Data Engineering - Company Financials Workflow, Hong Kong

Bloomberg L.P.

Jobdatum: 29. August 2024

Einstiegsart: Senior
Einsatzort: Hongkong; Asien
Arbeitgeber: Bloomberg L.P.
Jobdetails Bewerbungsformular

Info zum Arbeitgeber

Bloomberg L.P.

Financial News, Data and Analytics

Firmensprache

Deutsch, Englisch

Mitarbeiter

10.001 - 50.000

Kontakt

Bloomberg Recruitment Team
City Gate House
39-45 Finsbury Square
London
EC2A 1PQ
+44 20 7330 7500

Online applications only

Homepage
www.bloomberg.com

Karriere-Website
www.bloomberg.com/careers

Senior Data Management Professional - Data Engineering - Company Financials Workflow, Hong Kong

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.

What's the role?

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

The Company Financials Workflow team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to acquire, validate, store, protect, and model comprehensive financial data which is accessible to our clients across various Bloomberg platforms. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries, Markets and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:
  • Proactively analyze processes with data to identify workflow opportunities and ensure our datasets are fit-for-purpose
  • Gather feedback from internal and external workflow users including clients, vendors and global company financials teams
  • Engage with Business/Data Product Managers and Engineering teams to strategize, prioritize and plan roadmaps in the global landscape
  • Supervise the development lifecycle including design, optimize, test workflow solutions together with Data subject matter experts
  • Leverage technical knowledge of Bloomberg's proprietary or open-source stack to implement high-standard and innovative solutions
  • Retain the workflow knowledge and IP while communicating the changes and progresses to partners around the globe
  • Govern the workflow by setting up appropriate monitoring systems and plans to ease incident management as well as ensure business continuity
  •  
    You'll need to have:

  • Minimum 3+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions
  • Demonstrated experience working with Python in development or production environment
  • Minimum 3+ years of experience working in a data engineering role or related fields such data quality, data modeling, or data architecture
  • A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field  or degree-equivalent qualifications
  • Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
  • Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
  • Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
  • Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
  • Demonstrated continuous career growth within an organization
  • Excellent written and verbal communication skills in English
  •  
    We’d love to see:
  • Advanced degree in a relevant subject and/or Certified Data Management Professional (CDMP, or working towards it)
  • Experience in Bloomberg Company Financials products, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
  • Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases
  •  
    If this sounds 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, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional
     
    Why Bloomberg?
    We’re individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We’re interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.
     
    Learn more about our office and benefits:
    Hong Kong | www.bloomberg.com/hongkong
     
    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 maternity/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.
    http://www.bloomberg.com/hongkong

Info zum Arbeitgeber

Bloomberg L.P.

Financial News, Data and Analytics

Firmensprache

Deutsch, Englisch

Mitarbeiter

10.001 - 50.000

Kontakt

Bloomberg Recruitment Team
City Gate House
39-45 Finsbury Square
London
EC2A 1PQ
+44 20 7330 7500

Online applications only

Homepage
www.bloomberg.com

Karriere-Website
www.bloomberg.com/careers

Info zur Bewerbung
Jobtitel:

Senior Data Management Professional - Data Engineering - Company Financials Workflow, Hong Kong

Jobkennzeichen:
connecticum Job-1756327 / 125480
Bereiche:
Finanzen, Informatik, Statistik
Wirtschaftswissenschaften: BWL-Finanzen
Informatik: Informatik
Naturwissenschaften: Statistik
Einsatzort: Hongkong; Asien
Jobdetails Bewerbungsformular

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