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We are seeking a highly motivated and analytically driven The Big Data Junior Scientist to join our team. In this pivotal role, you will be responsible for creating insightful reports and conducting in-depth analysis derived from a unique financial monitoring system, an integral component of Citi's Anti-Money Laundering program. You will collaborate within a team of experienced statisticians, engaging with global colleagues to execute complex analyses and discover intricate patterns of money flows, leveraging advanced AI tools. This presents an exceptional opportunity to operate within a Big Data environment, contribute to the creation and implementation of new projects at Citi, and continuously enhance your English communication skills in daily interactions. This position embraces a hybrid work model, offering a blend of in-office collaboration and remote flexibility.
Job Responsibility:
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
Build and implement models and algorithms
Detect data anomalies and identify source of data problems
Use visualization techniques to display data and the results of analysis in clear presentations
Design statistically valid samples, design and conduct statistical experiments
Work with existing AI models and contribute to the exploration and implementation of new AI-driven solutions for data analysis and pattern recognition
Ensure Data Quality and Reliability
Design and implement various Data Quality methods
Requirements:
Master or Bachelor 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)
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
Nice to have:
Big Data experience
What we offer:
Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
Employee Assistance Program financed by Employer
Paid Parental Leave Program (maternity and paternity leave
statutory and 2 weeks additional paid paternity leave)
Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events
Additional day off for volunteering
Cafeteria/ flex benefit
Opportunity to receive an annual discretionary incentive award