TL;DR

Model Quality Assurance Lead (QA Testing): Designing, implementing, and performing quality checks on input and output data for models, including regression tests for Machine Learning models, with an accent on data quality, model performance, and error tracking. Focus on developing automated quality assurance checks, reporting, and collaborating with model managers and business analysts to improve model quality.

Location: Onsite in Bucharest, Romania

Company

%hirify_global% is a leading global financial markets infrastructure and data provider focused on driving financial stability and sustainable growth.

What you will do

Design, implement, and execute quality assurance checks on raw and delivered data by model using Python.
Run checks to identify spurious or anomalous values in datasets and model outputs.
Implement non-regression tests for Machine Learning model performance measurement.
Produce model quality control reports and maintain documentation of errors and resolutions.
Collaborate with content management and model managers to ensure timely data refreshes and model output availability.

Requirements

Location: Must be onsite in Bucharest, Romania
Advanced degree or significant experience in data engineering or management.
Proficiency in Python and coding standards.
Experience with databases, data analysis, and quality checks.
At least 2 years of relevant experience in a similar role.
Good analytical, problem-solving, and writing skills.
English proficiency at least B2 level.

Nice to have

Experience with cloud platforms (AWS, Azure, GCP).
Understanding or curiosity about sustainability investments (climate, ESG).

Culture & Benefits

Inclusive and diverse work environment with equal opportunity employment.
Healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
Collaborative and creative culture encouraging new ideas and continuous improvement.