Risk (QA) Engineer

About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. • Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); • Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; • Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; • Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: • Quality of changes implementation (including errors identified in production). • Speed and productivity compared with average team performance. • Quality of interaction with team members and stakeholders. • 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. • Basic knowledge of GoLand is desirable; • Good knowledge of testing; • Good knowledge of English. • Ability to work in a stressful environment typical of startups.