Senior Data Scientist – Quantitative Finance (m/f/d)

Hello, let's tell WIR! In the Data Analytics Team of HUK-COBURG we transform data into real added value for over 13 million. Inside. As Germany's leading automotive insurance company, we are a long-standing and stable company that is investing in innovation and its data-driven future. Our agile Data Analytics teams use state-of-the-art machine learning and AI methods to optimize processes, calculate fair prices, control damage digitally and intelligently and to develop new, innovative insurance products. Become part of our large data community, develop together with many other experienced data specialists:in practice-oriented machine learning applications and thus shape the change driven by data, machine learning and AI in one of the largest insurers in Germany. Senior Data Scientist – Quantitative Finance (w/m/d) Coburg, Bavaria, Germany Employment Full-time Weekly work time 38 hours Duration type Unlimited Start of occupation now

Conception, development, implementation and continuous optimization of machine learning and deep learning models, in particular quantitative investment solutions for our portfolios and investment strategies Continuous training and transfer of state-of-the-art data science and AI methods from current research to practical business requirements Use of current machine learning and deep learning methods in a professional DevOps environment with Python Teamwork in a creative, motivated, interdisciplinary and agile team from Data Scientists (w/m/d), Machine Learning Engineers (w/m/d) and specialist and IT experts:involving machine learning and deep learning solutions into our products Integration and advice in particular of portfolio/risk management with regard to the use and potential of quantitative investment approaches

Completed studies (at least Master, ideally doctorate) in Data Science, Machine Learning, Mathematics, Physics, VWL, Quantitative Finance, Computer Science or a related subject Ideally multiannual practical experience in the development of scalable machine learning solutions in research, in a research-related environment or in industry Strong programming knowledge in Python and sound, theoretical and practical knowledge of modern machine learning techniques and tools, as well as ideally the portfolio optimization, analysis and modeling of financial data Excellent analytical skills and problem-solving competence Good communication skills and the ability to clearly convey complex technical concepts Self-employed, targeted working with high self-responsibility and willingness to take over Ownership for projects and results Hybrid working model: readiness for presence in Coburg

Employer grants In addition to 13.3 monthly salaries, you can look forward to corporate benefits, driving grants, mobility grants, asset-effective services and numerous offers for your leisure time. Further development Achieve your goals – we offer you development opportunities through numerous training measures, self-training grants and our own training centre. Flexibility Good work and a good life go hand in hand – you have the opportunity to work up to half the monthly working hours from home or on the go. Make your day as you need it! Work-life balance Then work when it is best for you – we offer you flexible working time models that adapt to your life. In addition, there are 30 days of recreational holiday, Christmas and New Year's Eve free and 1.5 additional free days. Occupation & family To make you feel comfortable with us, we create the appropriate framework conditions. This includes support for children and holiday care as well as family care, as well as the opportunity to take part in a leadership position. Health & well-being If you're okay, we'll be fine – we'll support you with offers on exercise, nutrition and mental health. We also grant your membership in gyms and prevention courses. Co-workers Sometimes it's just good to let someone from the outside remember – our employee advice supports you in all phases of life, because your health and well-being are at our heart. You are the We We keep together and stand for each other, because only together can we create a dedicated and productive working environment in which your ideas and creativity grow. Only through the diversity of our employees is a great WE. Pension provision Today we think about tomorrow – with our offers for occupational retirement. So that our employees can look relaxed into the future. Motorcycle Cycling instead of rolling – we grant you your service bike, so you come to work comfortably and sustainably with the wheel. .