Optasia

Fintech

DataAssuranceEngineer

Athens, Attica, Greece
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Assurance Engineer at Optasia. Skills: Data assurance, Automation, Risk Models. Automate data assurance processes. Automate data validation processes”

Industry & Context.

Fintech
Problems you'll solve

analytical and problem-solving skills; independent thought and judgment

What They're Looking For.

Must Have

BSc/MSc in Mathematics, Physics, Computer Science, Computer Engineering or other Natural Sciences, Data assurance/quality, Automation of QA processes, Software testing, Credit risk models, Risk Analytics, analytical and problem-solving skills, attention to detail, Ability to succinctly report status and results, Familiar with Linux, Experience with tools such Microsoft Excel, Communicates effectively in English in written and verbal form

Nice to Have

Hands-on experience of big data processing and analytics, Hands-on experience of data bases (SQL and NoSQL), Creative skills, Programming skills, Hands-on experience of Spark, Python (secondarily Java, MATLAB, R), Hands-on experience of Grafana or any other Data Visualization Tool, Hands-on Experience of Automation Tools e. g. Jenkins, Experience in working with secure code development guidelines and coding practices (i. e. OWASP, NIST)

What You'll Do.

Automate data assurance processes

Automate data validation processes

Perform sanity checks on data

Research missing/inaccurate data elements

Determine data resolution course of action

Perform data pre-processing

Automate testing procedures of Risk Models

Automate testing of algorithms

Document production problems

Track production processes

Track production procedures

Track data amendment changes

How You'll Work.

Team & Collaboration

Work closely with the Data Architect; Work closely with other creative minds

Communication Scope

Communicates effectively in English in written and verbal form; Ability to succinctly report status and results

Full Job Description

Optasia is a fully enabled B2B2X financial technology platform covering scoring, financial decisioning, disbursement and collection. We are committed to enabling financial inclusion for all. **We are changing the world our way.** Since company’s inception, over a decade ago, we have grown to become a global leader in the Fintech fields, constantly expanding and adding new solutions, offerings, and untapped monetization opportunities for all our partners and clients. As member of the **Data Assurance** team in** Optasia,** you will work closely with the Data Architect to perform automated sanity checks in large scale volumes of pre-processed and post-processed data and test various algorithms used in the Credit Risk Assessment procedure for nano and micro-finance. Working closely with other creative minds, the **Data Assurance Engineer** will be able to demonstrate his/her expertise on data assurance, statistical models and machine learning as well as his/her high level of analytical and creative skills. He/she will have the opportunity to further develop knowledge and expertise on data assurance, AI, machine learning, predictive and risk analytics. **What you will do** * 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 **What you will bring** * 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 significa

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