Senior Data Management Professional - Data Engineering - Company Financials Market Data | São P[...]

Bloomberg; São Paulo; Presencial; USD 60.000 - 120.000; Tempo integral

Resumo da oferta

An established industry player is seeking a Senior Data Management Professional to enhance their data-driven strategies in the financial sector. This role involves developing efficient workflows around exchanges and third-party data, utilizing advanced technical skills and problem-solving abilities. The successful candidate will collaborate closely with various teams, ensuring the delivery of high-quality data products. If you are passionate about leveraging data to drive insights and improve financial analysis, this opportunity offers a dynamic environment where your contributions will have a significant impact on the industry.

Qualificações

• 3+ years in financial/fintech services or data engineering roles.
• Experience with Python in development or production environments.
• Strong project management and collaboration skills.

Responsabilidades

• Develop data-driven strategies and workflows around exchanges and data providers.
• Analyze workflows to identify observability checkpoints for data delivery.
• Collaborate with teams to craft solutions and improve data models.

Conhecimentos

Python

Data Modeling

Project Management

Collaboration Skills

Statistical Analysis

Formação académica

Bachelor's degree in Statistics

Master's degree in Finance or STEM

Ferramentas

ETL Pipelines

Machine Learning

Database Management

Descrição da oferta de emprego

Senior Data Management Professional - Data Engineering - Company Financials Market Data

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.

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.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. 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 and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

1. Develop data-driven strategies, balancing the best of technical, product, financial and Market knowledge, and work with our engineering and product departments to craft solutions.
2. Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
3. Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
4. Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
5. Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence.
6. Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

1. Minimum 3+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture.
2. Demonstrated experience working with Python in development or production environment.
3. A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications.
4. Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle.
5. Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.).
6. Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality.
7. Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills.
8. Demonstrated continuous career growth within an organization.
9. Excellent written and verbal communication skills in English.

We would love to see:

1. Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it).
2. Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows.
3. Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing.
4. Experience designing optimal database structures.