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Teamleader Data Science & Analytics - Financial Risk (w/m/d)

Digitec Galaxus AG

Employment type
Full-time
Workload
100%
Location
Zürich
Company
Digitec Galaxus AG, 8005 Zürich
First posted
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Your tasks * Together with the Product Owner, you lead the team and are responsible for successful collaboration as well as the further development of our products * You spend a significant part of your time working hands-on: You develop and improve ML models together with the team, perform data analyses, build reportings, and participate in decisions regarding data and model architecture. In doing so, you ensure a common technical and functional orientation within the team * The technical quality of our products is your responsibility -- from code quality to system architecture to technical planning. Additionally, you are a sparring partner for the team regarding architectural and conceptual questions * You specifically promote the professional and personal competencies of your team members and pay attention to motivation, development, and well-being within the team * You continuously expand your knowledge of how our financial processes work and evolve * You drive topics forward within the team and beyond, keep stakeholders informed, and make your team's successes visible. As a link to the Head of Engineering, you relay decisions back to the team * As a reliable leader, you empower your team to make decisions independently, take their concerns seriously, and create a motivating and positive environment Your skills * Strong leadership and empathy skills, positive charisma, as well as enjoyment in dealing with different personalities and cultural backgrounds. You motivate and inspire your team and create an environment of psychological safety * Sound experience either in Data Science with Python or in Analytics Engineering with SQL, as well as experience with data pipelines, data modeling, and reporting. Knowledge of software engineering for collaboration with the engineering teams around Gringotts and experience with productive ML models are an advantage * Interest in financial topics such as credit risk and fraud detection. Experience in this area is a plus * Experience with AI-supported working, for example with Claude Code, Agents, and Skills, is a plus. Openness and the desire to learn quickly are mandatory. A reflective and responsible use of these tools, rather than trusting them blindly, is important to us * Pragmatism over process, as well as the ability to apply agile principles, guidelines, and processes with moderation, instead of adhering to them dogmatically * Interest in the product and its further development, as well as the ability to think in outcomes instead of features and to focus on the concrete benefit for our customers * You explain model results and their limitations so that stakeholders outside the data team can make informed decisions * Fluent German and English skills in spoken and written form * The willingness to question "how it has always been done" and to suggest more efficient, automated, or effective solutions * The courage to try things out without planning them to the smallest detail Why start with us? * Values instead of blabla: Cooperative, innovative, piratical, self-responsible, ambitious -- we all demand and live these five values. * Courage to think for yourself: We encourage everyone to think independently and actively. And we love it when you also think courageously, newly, and differently. * Uncomplicated: We avoid unnecessary things and focus on what is important. From mastering challenges to celebrating our successes. * Flexibility instead of bending: In addition to home office possibilities, we enable you to take up to 8 weeks of workation. Additionally, every position is also possible at an 80% workload. * Fast growth: With us, you grow and develop continuously. And receive [2000 EDU-Punkte](< >) for your further development so that you do not stand still. * Modern: With us, you can work with the latest technologies every day, see [unser Tech-Radar](< >). * More than "just" work: Take part in our various employee events such as [Hackathons](< >), hiking, skiing, boating on the Limmat, LAN parties, or Friday Night Drinks, and if interested, contribute to our [Techblog](< >). * Other benefits: Benefit from 25 days of vacation, exclusive employee prices in the shop, mobile, internet, and TV subscriptions at corporate rates and further j4id10434762jm j4it1041jm j4iy26jm

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Posted 3 days ago

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