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  • Big Data Scientist
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    Big Data Scientist

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Hybrid

    Tech stack

      English

      B2

      Data analysis

      regular

      SQL

      regular

      Python

      regular

      R

      regular

      SAS

      regular

    Job description

    Post location: Warsaw, Prosta 36, Citi Solutions Center


    Team/role overview:

    The Big Data Scientist will be responsible for conducting analysis of financial monitoring system within Anti Money Laundering program in Citi. The Incumbent will work in a team of statisticians with global team across the globe and execute complex statistical analysis to discover and classify patterns of money flows. This is an opportunity to work in a Big Data environment, have a chance to create and implement a new project in Citi, and practice your English on everyday basis. This is a position for those who know how to apply quantitative methods, know programming language (SQL and Python or R or SAS), want to develop their competencies and grow their careers in a global company in a team of experts.

    This position requires ability to execute complex statistical analyses, data visualizations and algorithm simulations. A background in advanced statistical techniques and statistical programming will be an advantage. Requirements include programming experience with data analysis, data processing and statistical tools (SQL, Python/R/SAS). Fluency in English and very good written and verbal communication skills are necessary.


    What you'll do:

    • Conduct data-driven analyses and reports; apply qualitative and quantitative data analysis methods; prepare statistical and non-statistical data exploration within Anti Money Laundering (AML) program in Citi.
    • Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds.
    • Provide data pulls and reports directly from Oracle database and big data environment. Write SQL queries in large database environment.
    • Detect data anomalies and conduct deep dives to identify source of those anomalies. Recommend data driven solutions to address those anomalies.
    • Use visualization techniques to display data and the results of analysis in clear presentations that can be understood by non-technical readers.
    • Provide technical support to the team by implementing automation tools on Oracle Database and Python, R or SAS.
    • Design technical solutions supporting complex data reporting and analytical tasks. Generate graphical data reports, including data cross-tables, scatter plots and statistical measures.


    What we'll need from you:

    • Master's or Bachelor's degree in technical science/mathematics/statistics/quantitative methods (degree in economics/banking may be considered if strong analytical skills are demonstrated)
    • 3-5 years’ experience in analyzing large datasets and in data mining
    • Programming and statistical/data analytical experience using SQL and Python/R/SAS
    • Initiative, creativity and attention to details
    • Consistently demonstrates clear and concise written and verbal communication skills
    • Self-motivated and detail oriented
    • Comfortable interfacing with business clients


    What we can offer you:

    By joining Citi Poland, you will not only be part of a business casual workplace with a hybrid working model (2 days working at home per week), but also receive a competitive compensation package and enjoy a whole host of additional benefits that support you (and your family) to be well, live well and save well:

    • Paid Parental Leave Program (maternity and paternity leave); A supportive workplace for professionals returning to the office from childcare leave
    • Award-winning pension plan,​ multisport, holiday allowance
    • Private Medical Care Program, Group Life Insurance
    • Consideration for annual discretionary bonus
    • Employee Assistance Program
    • Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
    • Flexible work arrangements to support you in managing work - life balance
    • Career progression opportunities across geographies and business lines; Mentoring Programs
    • Socially active employee communities with diverse networking opportunities


    Undisclosed Salary

    Permanent

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