Do you have what it takes to join Channel VAS, the global Fin Tech leader?
Channel VAS lends more than $4.5 million USD to over 550 million people in 25 countries worldwide - and these numbers keep growing every day! We employ only the best to join our team of highly skilled professionals in our Operations Center in Greece and other countries.
As a Data Assurance Specialist , you will be responsible for providing value-added assurance over the integrity of credit scoring, reporting, reconciliations, risk models, data parsing and other data-
related processes, working closely with the Data Architect to perform 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, you 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.
You will have the opportunity to further develop knowledge and expertise on data assurance, AI, machine learning, predictive and risk analytics.
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
Analyze data to identify data anomalies, conducting root cause analysis to determine the reason for inaccuracies
Testing of Risk Models and various algorithms used in Credit Risk Assessment.
Automate testing procedures.
Document and track production problems, processes, procedures and changes within the data amendment activity.
Required Experience & Qualifications :
BSc / MSc in Mathematical Sciences or Computer Science from an accredited institution.
Hands-on experience at least in two of the following (with descending significance) : Data assurance Software testing Credit risk models Risk Analytics Mathematical & Statistical modelling Machine learning and AI
Strong analytical and problem-solving skills with a strong attention to detail. Ability to judge the relevance of existing models and algorithms to specific business needs
Passion for learning, exploring and testing machine learning models and AI algorithms
Ability to succinctly report status and results
Experience with tools such Microsoft Excel
Will be considered a plus.
Hands-on experience of big data processing and analytics
Hands-on experience of data bases (SQL and NoSQL)
Hands-on experience of Java, MATLAB or R, and Python
Hands-on experience of Tableau or any other Data Visualization Tool
Hands-on Experience of Automation Tools e.g. Jenkins
Key competencies :
Effective communication in English in written and verbal form
Ability to hit tight deadlines and work under pressure and strict attention to detail
Self-motivated, self-directed, resourceful and in possession of a high level of personal initiative
Challenging work environment
Comprehensive private healthcare insurance
Company phone and laptop