Head of Data Science
il y a 2 semaines
Learn
Develop Grow But always:
Share value:
Join our international team that drives positive change, united by a spirit of openness and curiosity. We empower you to have an impact and to grow - personally and professionally. With us, you work at the heart of financial systems and evolve the way markets operate. We're excited about the future because we are the ones shaping it. Let ́s do this together by sharing value
Who we are:
Tracing its origins to 1585, Deutsche Börse Group has become one of the world's leading exchange organisations and an innovative market infrastructure provider.
What's your part in all this? With your commitment you contribute to the success of our unique business model:
offering a wide range of products, services and technologies for security, transparency and integrity on the markets.
By creating trust in the markets of today and tomorrow we foster growth and contribute to the prosperity of future generations.
LuxembourgYour career at Deutsche Börse Group:
Your area of work
The role of Head of Data Science and Business Insights will involve establishing and leading a team of highly skilled data scientists and analysts and scaling out the team as the function grows.
The team is incorporated within the "Client Connectivity & Data" section and significantly contributes to the strategical growth of Clearstream within the data space.
Your Responsibilities
- Drive growth by creating new valueadded data services through the smart use of digital tools, platforms, technologies, services, and processes.
- Lead the innovation efforts within the data science and business insights area, manage the team and take responsibility for the design and endtoend delivery of machine learning and datarelated solutions to a high standard and contribute to the Clearstream Data Strategy
- Lead, manage, motivate, and grow the team of Data Scientists and Data Analysts and help their career progression and development to unlock their potential and channel it to deliver impactful output
- Build a strategic understanding of the needs of the clients and the internal businesses across the data space, use advanced data science and ML techniques and approaches to solve business problems and lead the development of solutions that benefit our internal and external customers
- Ensure collaboration, knowledge sharing, and digital best practices between partners and colleagues to help embed a robust data and BI ecosystem
- Liaise with multiple stakeholders across products, sales, client services, IT and operations to develop relationships, understand requirements and identify feasible opportunities for delivering new data products and utilizing data for internal needs, such as datadriven decision making and the operational excellence
- Partner closely with IT on defining and implementing Data Infrastructure
- Facilitate close collaboration between the Data Science and Business Insights team and the IT on data pipelines, data acquisition, solution development, implementation, and ensure adherence to best practices and standards
- Measure ROI on data products, finetuning approaches as needed to ensure we're investing in the right tools and resources
- Identifying new data tools that can support, enhance and improve our solutions
- Manage Budget and initiatives within the ongoing agenda and liaise with multiple stakeholders on ideation, assessment, and prioritization of new use cases
- Foster and deepen the culture of datadriven decision making across business units
- Work with business unit leads to determine key KPIs and their impact on operational and financial performance of the business. Turn the complex datadriven insights into simple communication for the organization at large. Analyze the data sets to determine key value propositions
- Establish yourself as a trusted partner to the product teams and clients
- Understand Client Data Requirements and create solutions, as required.
Your Profile
- People management experience of leading, managing and scaling out a tech team within a corporate organization (recruiting and developing new team members, identifying skills gaps, managing the talent)
- Experience in designing, managing, and delivering data science solutions with a proven track record of managing endtoend delivery of machine learning projects from ideation to R&D to production with multiple stakeholders involved (managing timelines, development, deliverables and expectations) and a talent for managing complex projects and timelines effectively and handling evolving situations fluidly
- Experience in managing senior stakeholders and communicating complex, technical information in an engaging way to both technical and nontechnical audiences, including the use of data visualization tools when appropriate
- Quick learner who is proactive, resultoriented,
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