Data Scientist as Quantitative Risk Analyst
vor 2 Wochen
Bewerbungen sind ausschließlich online über unser Portal möglich. Collaborative Model Development : Work alongside seasoned quants and cross-functional teams to design, test, and implement cutting-edge models using Python, focusing on scalability, efficiency, and robustness. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes.
Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your unique insights and research findings.
Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field.
Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and time series analysis.
Team Collaboration : Eagerness to contribute to a team-oriented environment, with a strong focus on collaborative innovation and mutual professional growth.
To keep you motivated and healthy we are offering you the following benefits:
Flexibility : hybrid work model, flexible working times, sabbatical or additional vacation opportunities allowing great work-life balance
Flat hierarchies: interdisciplinary and very cooperative working style providing room for own ideas
Modern work environment: workplace according to digital and ergonomic standards
Family service support: services in the areas of childcare, holiday care, nursing support or everyday assistance
Nutrition & Health: wide selection of fresh meals and drinks in our subsidized bistro and canteen as well as various health offers (e.g. physiotherapy, flu vaccinations, mental health)
Corporate Benefits: employee share program, pension scheme, employee discounts, special insurances (and much more)
A central location: very good public transport connection, free parking and charging points for e-vehicles
Individual mobility: private car and bicycle leasing
Uns ist wichtig, Menschen mit Behinderung ein faires Bewerbungsverfahren zu ermöglichen, in dem sie ihr Bestes zeigen können. Wenn es dir nicht möglich ist, dich online zu bewerben und du stattdessen mit jemandem sprechen möchtest, kontaktiere bitte deinen lokalen Recruiter.
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