Novel risk management solutions centered around causal inference, Bayesian methods and machine learning
Syntherion, a stealth mode fintech startup from Switzerland, is looking for a second technical cofounder who is motivated to join us in bootstrapping this company.
We are developing novel risk management solutions centered around causal inference, Bayesian methods and cutting edge machine learning research. The team consists of an experienced entrepreneur and finance PhD with a fintech exit already under his belt, a legal PhD student specialising in banking regulation and a machine learning PhD working on robust and interpretable ML. We are also mentored by a senior cantonal bank officer, well connected in the ETH and EPF domain and are in the process of starting the first paid pilot project. In order to balance the team and ensure that product development does not become the bottleneck, we are now looking for another techie to join the team.
Aside from team fit we are ideally looking for the following skillset
a) programming skills, ideally in Julia, Python and Qt/C++ (or able to learn while doing). (Very strong: can architect and implement large maintainable systems confidently and rapidly. Strong: can implement components of pre-architected solution independently and participate in the design) b) skills in statistical (risk) modeling or machine learning theory (knowledge in neural nets, gaussian processes, causal inference and/or MCMC algorithms). Very strong: can derive, and prove novel algorithms as well as implement them. Strong: Can read papers and identify, understand and apply the algorithms appropriately)
If this sounds like you and you are interested in reinventing risk management for financial institutions including banks and insurances, then you might be a good fit and should reach out for more details about the project and so we can get to know you.