Duration: permanent, starting immediately
We offer a Quant Engineer position for a dedicated Quant with between 2 and 5 years of full time work experience.
The focus of the quant work is on the development and implementation of models and methodologies across multiple areas of Financial Engineering. Depending on your level of experience this will include designing and implementing risk and pricing models, optimization models, machine learning models, computational methods and algorithms applied mostly in the context of financial markets applications.
You will work on dedicated client projects for the development of cutting edge methodologies and technologies for major international clients.
Your tasks will include designing, prototyping and testing quantitative models applied to finance in a real-world context. It may also include presenting your work and ideas to people with a diverse spectrum of experience and domain knowledge. You will also engage and participate in all phases of transformation of a quantitative idea into a final product or service, from the Proof-of-Concept to client deliverables.
Work is done both in a client project context as well as internal innovation / research tasks. This requires a high level of hard and soft skills which you will contribute as a team member. Your personal success will depend equally on your ability to conceptualize and develop state-of- the-art models as well as your ability to function well within a team
You are keen on applying your quantitative skills in a dynamic market requiring innovative products driven by real business needs. You are looking for the opportunity to experience personal growth by leveraging your in-depth ability to develop relevant quantitative models. In addition we expect:
Higher university degree (PhD, MSc or equivalent) in engineering, mathematics, physics, computer science or a quantitative finance discipline preferable from a tier-one university
Strong quantitative skills built on at least 1 year of experience in a quantitative field in finance or quant modelling
Strong software engineering skills built on at least 1 year of experience as a quantitative developer (one of: Java, C++, C#)
Good financial acumen and understanding of financial markets and financial products
Proficiency in python
Strong experience working with complex and potentially large datasets
Fluency in English is required, German is a plus.