London, GB
Quantitative Developer - Junior (80 - 100% working degree)
Graduate to join small team within Financial Markets & In-Force Management, working on both IT infrastructure and the roll out of client applications to our clients.
About the Role
• Development, design and delivery of analytics within our C++ & python analytics library.
• Provide technical support, across a diverse range of products, to a range of internal clients.
• Close collaboration with Pricing & Structuring, Financial Market Portfolios and IT.
About You
• Strong computer science knowlege is prerequistive – DAGs, asynchronous programming, etc.
• Good understanding of financial products and quantitative models.
• Collaborative development of an analytics library.
• Excellent knowledge of OpenCL, C++ and Python.
• MSc or PhD in computer science, mathematics or physics.
Key performance measures
• Must adhere to behavioural competency framework appropriate to role.
• Achieve personal objectives
About the Team
We are a small international team of Quantitative analysts delivering analytics to our internal clients across the globe. We provide modelling solutions to both sides of the balance sheet using our in-house web-based technology, supported by our analytics' library written in C++ and Python.
We are looking forward to your application!
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
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About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Reference Code: 131184
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Quantitative Analyst, Data