SAS Modeling Analyst

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Angajator: Raiffeisen Bank
  • Banci
  • Contabilitate Finante
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
  • Actualizat la: 18.11.2017
    Scurta descriere a companiei

    Raiffeisen Bank este o banca universala, oferind o gama completa de produse si servicii de cea mai buna calitate.

    Daca esti la inceput de cariera te invitam sa faci primul pas, cu un stagiu de practica sau un program de internship, sau identifica locul de munca ideal pentru tine si alatura-te echipei Raiffeisen Bank!
    Totodata daca esti un profesionist cu experienta, la Raiffeisen Bank iti oferim permanent oportunitatile pentru a iti dezvolta constant competentele si a atinge urmatorul nivel.


    Qualifications and hard skills:

    • University Degree in Mathematics / Computer Science / Economic Cybernetics, Statistics and Informatics;
    • Strong SAS skills (SAS/BASE, SAS Macros, SAS/STAT, SAS Enterprise Miner) - with ability to manipulate large data sets, automate monthly SAS processes and debug SAS code with minimal steer.
    • Data mining: extract, validate and test data;
    • Good knowledge of SQL programming;
    • Good knowledge of MS Office (strong Excel skills – with ability to work with multiple work sheets, pivots etc, Access databases, Word, PowerPoint);
    • Previous experience with developing statistical models.

    Soft skills:
    • Responsible and accurate, paying attention to details;
    • Outstanding analytical and problem solving skills;
    • A good team player;
    • Good communication skills;
    • Deadline driven skills;
    • Good knowledge of English, both writing and speaking.



    • Develop, implement and validate credit risk models (IRB, IFRS9) using SAS software (Enterprise Guide, Enterprise Miner);
    • Review and validate existing models;
    • Optimize existing statistical models;
    • Identify inputs for robust model development;
    • Make recommendation to aid model development;
    • Create the specific documentation for new models, present the newly developed models in specific committees;
    • Provide support in Internal Audit, NBR, ECB missions on statistical models topic;
    • Develop, implement and test standard reports and automates the process;
    • Develop daily/weekly/monthly/quarterly risk reports to monitor the credit risk activity;
    • Develop Ad hoc reports in order to assure the Department’s informatics requests;
    • Create data marts, populate and maintain SAS data structures.