It is time for a fresh approach to fighting financial crime.
We are building the world’s most powerful central money laundering detection platform
Money Laundering is one of the most pressing burdens to global society and cost us 2.7% of global GDP annually. Financial institutions spend over USD 200bn annually to comply with AML regulations. The outcome is a success rate of less than 1%.
Financial institutions are not offered any appropriate solutions to ease the compliance burden and the risk of being fined.
At hawk:AI we build the world’s most powerful central money laundering detection platform that assists financial intuitions with their financial crime compliance process end-to-end (transaction monitoring, investigation, filing and audit trails) for financial institutions.
hawk:AI is building the Anti-Money-Laundering (AML) solution of the future, combining simplicity in design with state of the art AI technology and cloud scalability. We drive efficiency drastically reducing the required monitoring and investigation time per case while increasing overall money laundering detection rate.
with leading expertise in data, technology, banking and compliance
We are growing fast, so we are constantly looking for ambitious self-starters that want to take on the fight.
Don’t worry if you did not yet find the perfect profile for your background. If you feel like you are the perfect match for hawk:AI and have something to contribute, then just reach out and tell us what we are missing.
For all applications please contact email@example.com with the following information: CV, short introduction and your availability.
Our office is in Munich, Germany.
– Data Engineer / Data Scientist
We are looking for an ambitious data whiz to re-define how money laundering and terrorism is fought in financial services. Data Science and AI are at the heart of our product. That’s why we are looking for an ambitious and curious data scientist with data engineering skills who is actively driving the improvements of our analytics pipeline from data wrangling and feature generation to model building and predictions while also actively defining our product.