At Tintra, our reason for being, or Ikigai, is simple. We enable fully borderless financial inclusivity, measured through behaviour, rather than by background.
With the experience and reputation of over 16 years working with some of the world’s leading corporations. We are experts at solutions for cross-border deals and international trade transactions. We pride ourselves on our local relationships around the world to help good people and their businesses operating from complicated places.
We believe in a world without inherent bias or prejudice. We want everyone to be given a fair opportunity. That is why our patentable artificial intelligence is free from human bias, while providing best-in-class risk mitigation.
“We are building emerging market focused banking technology and infrastructure to enable financial institutions, multinationals and large corporates in the emerging world to access global banking infrastructure without bias or prejudice in an environment where we control the compliance exposure from end to end”, CEO, Tintra plc.
We are now looking for an experienced ML Research Scientist (ideally with demonstrable experience in the Fintech / Banking sector but not a must have) to build up and lead an ambitious R&D department that will develop cutting edge technology for mission-critical components.
PhD in a relevant field (i.e. computer science with artificial intelligence and/or machine learning) and 3+ years of industry experience related to applied machine learning research
Proven track record of scientific publications and / or patents
Solid theoretical background in machine learning, in particular deep learning
Strong applied machine learning and data processing skills
Excellent communication and leadership qualities
Proven track record of conducting end-to-end R&D projects from whiteboard to deployment
Ability to lead and manage a research team
Talent in communicating research results to non-technical stakeholders
Nice to haves:
Technical knowledge of core banking systems
Experience working the financial sector
Previous experience working in a start-up environment
Experience building ML components for banking systems