SMO - Reporting & Analytics - Data Scientist

  • Wrocław, dolnośląskie pokaż mapę
  • Specjalista
  • 13.11.2018
  • Ważna jeszcze 1 dzień (do 13.12.2018)

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.
    SMO - Reporting & Analytics - Data Scientist # 121713
    Workplace: Wrocław
    121713

    Description:

    Credit Suisse is seeking a Data Science Lead in the Reporting & Analytics team under GCTO Service Management Office.

    Service Management Office is responsible for providing innovative ways through maintaining knowledge of industry best practice, technology trends and product availability. Developing business and technical requirements through consultation with key client partners and ensuring alignment to corporate standards for risk and security compliance.

    The Analytics & Reporting team works as part of a globally distributed team that will be the primary provider of IT Operational Reports to the firm. At any given time you will partner with team members across all regions and time zones while reporting to a line manager in New York.

    Duties:

    You will lead the Analytics team within Reporting & Analytics organization and partner with key clients to:

    • Develop and Implement the Analytics function within Reporting & Analytics team
    • Research and Develop statistical learning models for data analysis.
    • Understand company needs and devise possible solutions
    • Keep up-to-date with the latest Data Science technology trends
    • Communicate results and ideas to key decision makers
    • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
    • Optimize joint development efforts through appropriate database use and project design
    • Analyze large data sets to determine trends and forecasts

    Open to discussing flexible/agile working.

    Qualifications:

    • 5+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics
    • You have proven leadership in managing teams and developing talent
    • You have extensive background in data mining and statistical analysis
    • You have deep understanding of various data structures and common methods in data transformation
    • You have excellent pattern recognition and predictive modeling s
    • Are you able to write very complex SQL queries?
    • Do you have good problem solving acumen?
    • You have the ability to easily communicate complex problem solving ideas to senior management and peers
    • You have strong logic, problem perception and analytical skills paired with flexibility and a bias for action
    • Client orientation; you naturally study/understand the business, enabling you to empathize
    • Python scripting knowledge and automation experience required

    Below are Plus if available:

    • Degree in Computer Science, Statistics, Applied Math or related field
    • Big Data knowledge (Cloudera, Hive, etc.)
    • Technical experience in human-in-the-loop machine learning and data science techniques for open text mining
    • Understands the English language in a way to know how language translates across countries to ensure a humanized respond from different ticketing platforms

    For more information visit Technology Careers.

    We offer

    • Private medical care
    • Life insurance
    • Pension plan
    • Charity days
    • Training and development
    • Internal Mobility

    Other optional

    • Language training course
    • Mentoring
    • Family – nursery and kindergarten funding, gift vouchers for Christmas
    • Parking allowance
    • Health promotion: Multisport card, sporting events and groups within Credit Suisse (skiing trips, football team, running team, tennis training course etc.) 
    • Employee discounts on various products and services (event tickets, consumer products, etc.)
    • Relocation package
    • Employee Referral Program
    • Flexible work schedule and working from home (home office)

    Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.

    If you apply for this role this means you agree with the following statement:

     

    “Through my application for a role with Credit Suisse (Poland) sp. z.o.o. (the Company) I hereby authorize the Company to process my personal data for the purposes of job recruitment. Furthermore I declare that I am aware of the voluntary submission of data and I am informed about the right to access the data and the right to correct it, pursuant to the Personal Data Protection Act of 29 August 1997 (Journal of Laws [Dz.U] No. 133, item 883)”. I authorize Company to process my personal data for future recruitment processes.

     

    Furthermore, I authorize Credit Suisse Group AG and its’ affiliates, Taleo (UK) Limited, cut-e AG Kleiner Burstah 12 and milch & zucker The Marketing & Software Company AG to process my personal data.

     

    Credit Suisse and affiliates registration details.-

     

    Credit Suisse (Poland) sp. z.o.o                                               Registered office - 1 Icchoka Lejba Pereca street, 00 - 849 Warsaw
    Credit Suisse Group AG                                                           Registered office - Paradeplatz 8, 8001 Zurich, Switzerland and its’ affiliates
    Taleo (UK) Limited                                                                  Registered office - 78-586 Chiswick High Road, London W4 5RP, United Kingdom,
    Cut-e AG Kleiner Burstah 12                                                   Registered office - 20457 Hamburg, Germany and
    Milch & Zucker The Marketing & Software Company AG     Registered office -  Küchlerstraße 1, 61231 Bad Nauheim”

     

    Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.