To maintain regular economic
and financial sector analysis of the countries of operations, namely AZE,
GEO, TUR;
To get access to new source of
data in order to address increasing demand from Corporate Center and
Strategic Assets, to invest in Big Data techniques and to utilize its
potential in overall economic and market analysis;
To build and update relevant
models for addressing forecast demand of different indicators coming from
internal and external customers;
To support and assist
Strategic Assets in implementation of methodology with respect to IFRS-9
forward-looking provisioning, to be first line of person in communicating
& explaining methodological issues related with macro calibration;
To be responsible for
improving modelling side of the task, to take leadership in validation
with external auditors and communication with strategic assets;
To assist in defining macro
& regulatory triggers for formulation of stress-testing scenarios and
communication of scenarios in accordance with timeframe set in relevant
processes;
To define macroeconomic &
market trigger factors in stress-testing, and strongly contribute
modelling them statistically;
Co organize macro and expert
panels accordingly, to strive nearing positions of all stakeholders. To
take a direct action in aggregating of model results and preparing for
discussion at relevant platforms;
To take active part in
preparation of macroeconomic & market inputs for the next year
budgeting process;
To keep close contact with
relevant stakeholders at strategic assets and provide multidimensional
professional assistance during the process;
To organize knowledge sharing
sessions, contribute to the alignment meetings, and demonstrate efforts in
building other collaboration platforms
Namizədə tələblər
Master degree in Economics;
Minimum 5 years of
professional experience in the field;
Strong knowledge of MS Office
programs and statistical forecasting software;
Strong interpersonal and
communication skills;
Writing and speaking
Proficiency in Azerbaijani and English, Russian or Turkish is a plus;
Good understanding of
financial and non-financial markets;
Participation in trainings,
programs related with economics, econometrics or data science