Quantitative Finance Technology Team Leader Quantitative Finance Technology Team Leader …

in New York City, NY, USA
Festanstellung, Vollzeit
Letzte Bewerbung, 27 Feb 21
in New York City, NY, USA
Festanstellung, Vollzeit
Letzte Bewerbung, 27 Feb 21
Quantitative Finance Technology Team Leader
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 Global Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

Our Team:
The Bloomberg Intelligence (BI) Data Engineering team is responsible for building the systems that support the creation of critical market research. We see the impact of our work every day, whether it's using machine learning pipelines to estimate financial product data, architecting systems that translate to market-moving insights, or finding ways for our colleagues to more easily do their jobs. Our team works closely with the BI team to proactively identify client and business needs and build scalable solutions to meet them across our products. 

We are looking for a tech-savvy, motivated Team Leader to lead this brand new team that sits at the intersection of building strategic infrastructure and developing critical business strategy. In this role, you will be expected to drive the development of Data products and content by leading your team of skilled technical financial data engineers and data scientists. This position requires extensive collaboration with global colleagues across all business units including Bloomberg Intelligence, Business Managers, News, Sales & Analytics, and Engineering. You are an exemplary collaborator, and a highly motivated and experienced leader who has a proven track record of defining and executing strategies. 

We'll trust you to:
  • Design and implement a strategy for financial data science research and experimentation to support a team of data engineers and data scientists
  • Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors
  • Contribute to the design of investing strategies on economic predictions through multiple investing paradigms
  • Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds
  • Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts
  • Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes

You'll need to have:
  • 2+ years of professional leadership experience with technical or skilled financial talent
  • 5+ years of experience in applied data analysis & prediction, preferably in an industry setting
  • Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
  • Demonstrably strong data science modeling intuition and feature engineering creativity
  • Expertise in applying statistical techniques for time-series measurement/estimation and prediction
  • Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
  • Experience specifying & managing requirements for datasets leveraged in your analyses
  • Working knowledge of SQL and common data science toolkits: Python, R, Spark
  • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
  • A portfolio of open-data analyses or data-driven research publications would be ideal

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.

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 champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.

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