ICAP , group of companies with 1.000 employees- is the largest B2B Services Provider in Greece, with leading presence in the Southeastern Europe Region.
From 2007, when the major shareholder of the Group was the SEEF Fund of Global Finance, ICAP Group has been rapidly developing and today it provides a wide range of services and products that are grouped into the following four major categories : Credit Risk Services, Marketing & Sales Solutions, Management Consulting και People & Employment Solutions.
ICAP Group is the only company in Greece certified by the Bank of Greece as an External Credit Assessment Institution (ECAI) in regards to the New Regulatory Framework of Basel II.
Moreover, in July 2011, ICAP was accepted by the European Securities and Markets Authority (ESMA) as a Credit Rating Agency (CRA).
We are looking for an efficient professional who will work on data mining, statistical analysis, data modelling and machine learning techniques.
He / she will join a team responsible for the development, monitoring and verification of models and algorithms in the area of Credit Risk and Business Analytics.
Data management of structured and unstructured data
Develop data-driven insights through predictive models, in the area of Credit Risk and Business Analytics
Validate and monitor the power of predictive models
Lead the development of projects and support team members throughout project execution
Communicate with senior management and contribute to new business proposals
Collaborate with different teams to produce innovative and efficient analytics products and services
Staying up to date on trends in data analytics methodologies
A minimum of 5 years’ experience performing statistical analysis, data mining, data science, machine learning, in a professional setting
Bachelor's degree in Quantitative discipline (Statistics, Mathematics, Computer Science, Information Technology, Economics)
Master’s degree in Analytics / Statistics / Operational Research / Data Science, or a related field associated with quantitative analysis
Analytics tools & skills :
Strong analytical skills and ability to interpret a variety of types of data
Proficiency with one or more data analytics tools such as R, SAS, SPSS, Python, SQL
Fluency in English required
Ability to generate and clearly communicate insights from raw data
Ability to perform multiple tasks simultaneously, employing effective time management and organizational skills
Ability to work independently and as a team to meet deadlines, goals and objectives
Passion for learning new data analysis methods and tools
Excellent critical thinking skills
The Company offers :
A competitive remuneration package, along with the opportunity to work in a fast-growing company.