Data Assurance Engineer, Fintech

Optasia

Data Assurance Engineer automating data validation processes in fintech company Optasia. Collaborating closely with Data Architect to ensure data accuracy and integrity.

Posted 5/26/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSeniorWebsite

ATS Keywords

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Hard Skills

data assurancedata validationdata pre-processingautomation of QA processessoftware testingcredit risk modelsrisk analyticsmachine learning modelsAI algorithmsanalytical skills

Soft Skills

problem-solvingattention to detailself-motivatedresourcefuleffective communicationpersonal initiativeability to work under pressuretime management

Tools & Technologies

LinuxMicrosoft Excel

Certifications & Qualifications

BSc in MathematicsBSc in PhysicsBSc in Computer ScienceBSc in Computer EngineeringMSc in MathematicsMSc in PhysicsMSc in Computer ScienceMSc in Computer Engineering

Industry Keywords

data qualityrisk assessmentsanity checksproduction problemsdata amendment

Tech Stack

Tools & technologies

Linux

About the role

Key responsibilities & impact

Automation of data assurance and data validation processes.
Perform sanity checks in large scale volumes of pre-processed and post-processed data.
Research analyze and document data elements that are missing and/or reported as inaccurate by our clients. Determine course of action for resolution using independent thought and judgment
Perform data pre-processing.
Automate testing procedures of Risk Models and various algorithms used in Credit Risk Assessment.
Document and track production problems, processes, procedures, and changes within the data amendment

Requirements

What you’ll need

BSc/MSc in Mathematics, Physics, Computer Science, Computer Engineering or other Natural Sciences from an accredited institution.
Hands-on experience at least in any of the following (with descending significance): Data assurance/quality, Automation of QA processes, Software testing, Credit risk models, Risk Analytics
Strong analytical and problem-solving skills with a strong attention to detail.
Passion for learning, exploring, and testing machine learning models and AI algorithms.
Familiar with Linux.
Experience with tools such Microsoft Excel.
Communicates effectively in English in written and verbal form
Self-motivated, self-directed, resourceful and in possession of a high level of personal initiative
Ability to hit tight deadlines and work under pressure and strict attention to detail.

Benefits

Comp & perks

Competitive remuneration package
Extra day off on your birthday
Performance-based bonus scheme
Comprehensive private healthcare insurance
All the tech gear you need to work smart
Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises