Big Data Junior Scientist

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.

This role is ideally suited for recent graduates who have developed a strong foundation in quantitative methods and programming languages such as SQL and Python during their studies. It offers a clear path to advance your competencies and build a rewarding career within a global company, working alongside a team of experts.

The position demands the ability to execute complex statistical analyses, create compelling data visualizations, and simulate algorithms. Essential requirements include practical programming experience in data analysis, data processing, and familiarity with statistical tools (with Big Data experience considered a significant advantage). Fluency in English and excellent written and verbal communication skills are imperative.

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.
• 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. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems.

Qualifications:

• 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

We offer:

By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include:

• 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 – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform.

• Opportunity to receive an annual discretionary incentive award

• Special offers and discounts for employees

• Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf

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? 

Apply to discover the true extent of your capabilities. 

#LI-AF2

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Job Family Group:

Risk Management

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Job Family:

Model Development and Analytics

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Time Type:

Full time

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Primary Location Full Time Salary Range:

90 440,00 zł - 142 960,00 zł

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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View Citi’s EEO Policy Statement and the Know Your Rights poster.