Remote Risk QA Engineer – Fintech Scoring

Tabby | تابي; Lisboa; Remote; EUR 28,000 - 40,000; Full time

Benefits offered by this job

Fully remote work

Flexible working hours

Autonomy and responsibility from day 1

Stock options program

Job summary

Tabby is seeking a Risk (QA) Engineer to join our Risk and Scoring teams, focusing on Risk & Financial Modelling within the Tabby product. You will contribute to policy development, test automation, and evaluating credit decision processes, all in a fast-paced fintech environment.

The role is fully remote with Portugal-based operations; you will report to Igor Shestov and collaborate with cross‑functional teams to improve risk accuracy and product reliability.

Qualifications

• 0.5+ years of QA/SDET experience 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.

Responsibilities

• 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.

Skills

QA/SDET experience

GoLand basics

Testing knowledge

English proficiency

Stress resistance

Job description

Tabby is seeking a Risk (QA) Engineer to join our Risk and Scoring teams, focusing on Risk & Financial Modelling within the Tabby product. You will contribute to policy development, test automation, and evaluating credit decision processes, all in a fast-paced fintech environment.

The role is fully remote with Portugal-based operations; you will report to Igor Shestov and collaborate with cross‑functional teams to improve risk accuracy and product reliability.