The Big Data Junior Scientist will be responsible for conducting statistical analysis of unique newly created financial monitoring system within Anti Money Laundering program in Citi. He/she will work in a team of more experienced statisticians with global team across the globe and execute complex statistical analysis, e.g. segmentation, and 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 graduates who learned quantitative methods and some programming language (SQL, Python, R or SAS) during their studies and 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 (knowledge of tools like VBA preferable). A background in statistical techniques such as parameters estimation and hypothesis testing is required. Requirements include some programming experience with data analysis, data processing and statistical tools (SAS, Python or R, Big Data as an advantage).  Fluency in English and very good written and verbal communication skills are necessary

Responsibilities:

• Conduct data-driven analyses and reports; apply qualitative and quantitative data analysis methods, prepare statistical and non-statistical data exploration.

• Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds. Ensure appropriate methodology is selected to answer specific business questions on effectiveness of coverage.

• Build and implement models and algorithms. Maintain high quality code and documentation. Assure efficiency, stability and scalability of the solution.

• Detect data anomalies and identify source of data problems. Recommend data quality solutions.

• Use visualization techniques to display data and the results of analysis in clear presentations that can be understood by non-technical readers

• Design statistically valid samples, design and conduct statistical experiments. Perform statistical inference and draw conclusions from sample data

• Ensure Data Quality and Reliability. Design and implement various Data Quality methods in SAS, R, Python and Big Data. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems. Recommend data

Qualifications

• Master degree in technical science/mathematics/statistics/quantitative methods (degree in economics/banking may be considered if strong analytical skills proved) (4-5th year students may be considered as well)

• Some experience in data mining methods and their application in business practice

• Programming and statistical/data analytical skills (SQL, Python, R or SAS 4GL)

• Initiative, creativity and attention to details

• Ability to discuss reasoning, critical assessment of facts and opinions

• Demonstrated ability to communicate effectively, both orally and in writing

• Self-motivated with high desire of self-development and learning

By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits such as:

• Private Medical Care Program

• Life Insurance Program

• Pension Plan contribution (PPE Program)

• Employee Assistance Program

• Paid Parental Leave Program (maternity and paternity leave)

• Sport Card

• Holidays Allowance

• Sport and team recreation activities

• Special offers and discounts for employees

• Access to an array of learning and development resources

• A discretional annual performance related bonus

• A chance to make a difference with various affinity networks and charity initiatives

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

#LI-KS3

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