Senior Research Scientist – Machine Learning for AI Led Bank


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.

Technical requirements:

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

Personal 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