As a Data Scientist & Compliance Officer, you will play a critical role in leveraging data analytics to ensure compliance with AML regulatory requirements while also driving data-driven decision-making across the Detection Risk Coverage Organization. You will work closely with cross-functional teams to develop and implement data-driven solutions that not only enhance compliance efforts but also drive business growth and efficiency.

Responsibilities:

• Serve as a subject matter expert on AML transaction monitoring matters, advising senior management and stakeholders on compliance issues and risk mitigation strategies.
• Participate in AML risk assessments and audits, assisting in the identification and mitigation of risks.
• Prepare and submit reports to regulatory authorities as required, ensuring accuracy and compliance with reporting deadlines.
• Communicate findings and recommendations to key stakeholders through reports, presentations etc..
• Provide guidance and training to staff on AML transaction monitoring processes, procedures, and regulatory requirements.
• Utilize advanced data analytics techniques to identify trends, patterns, and insights related to compliance.
• Design and implement automated compliance monitoring systems to continuously assess and improve compliance efforts.
• Develop predictive models and algorithms to forecast compliance risks
• Collaborate with the legal and regulatory team to ensure industry compliance.
• Provide actionable recommendations based on data analysis to optimize compliance processes.
• Demonstrate ability to assess complex issues through root cause analysis & has the ability to operate with a limited level of direct supervision.

Qualifications:

• Minimum of 6-10 years of experience in AML compliance, with a focus on transaction monitoring in a financial institution or regulatory agency. Bachelor's or master's degree in computer science, data science, statistics, or a related field is preferred.
• Proven experience in compliance or data science, with relevant certifications (e.g., ACAMS, ICA).
• Proficiency in data analysis tools and programming languages such as Python and SQL is a plus.
• Excellent communication, presentation, and interpersonal skills, with the ability to collaborate effectively with cross-functional teams at all levels.
• Detail-oriented mindset with a focus on accuracy and precision.
• Ability to manage multiple projects and prioritize tasks effectively.
• Experience with statistical modeling, machine learning, and data visualization techniques will be an asset

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.

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