What we offer:
Permanent employment contract
Benefits package: private medical care, lunch vouchers, sport club card, life insurance and personal accident insurance, ability to use the corporate credit card AMEX Gold.
Remuneration for work in overtime
The Employee retains the right to 100% remuneration at sick leave
Mentor, who will help you fully exploit the development opportunities in the company.
Attractive training package (including international training), as well as permanent access to a comprehensive knowledge base and the assistance of international experts.
Training at our headquarters in the USA.
Inclusion and diversity value - we’ve received numerous awards in this area, including ‘Top 25 Companies for Diversity’
Opportunity to work with Global TOP Clients on large projects
Dynamic, international working environment
Requirements and expertise:
FS Distribution & Marketing jobs stipulate certain requirements. Candidates for Data Scientists are expected to possess competencies in following areas:
Higher degree in quantitative discipline (Economics, Econometrics, Statistics, Operations Research, Computer Science, Engineering, Physics) proven by a superior academic record
Minimum 3 years of consulting experience working on multiple analytics projects, preferably in the financial services sector
Solid knowledge of quantitative methods used in econometrics, statistics and data mining algorithms: data modeling, statistical inference, predictive modeling, insight generation or analysis of marketing databases, customer segmentation, customer profiling, acquisition models, retention models, cross-selling and pricing sensitivity models using analytical tools
Familiarity with model lifecycle management and model risk management
Very deep skills in predictive modeling and insight generation using analytical tools
Knowledge of time-series modeling techniques would be considered an asset
Knowledge of stochastic modelling would be considered an asset
Knowledge of statistical modeling tools: SAS, SPSS, KXEN. Knowledge of other data analysis and management tools like Matlab, R, Statistica, Hadoop, SQL, Cognos would be an asset
Familiarity with ETL, data model design or data warehouse projects would be an asset
Knowledge of reporting and data visualization tools would be an asset
Knowledge of financial services business model, products and value drivers would be an asset
Strong problem-solving skills combined with the ability to creatively untangle complex issues and develop innovative and efficient solutions within a narrow time frame
Exceptional presentation skills and an ability to explain complex statistical concepts in non-technical language and clearly elaborate on business value generated through their application
Excellent communication (written and oral) and interpersonal skills