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The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits
Specific Responsibilities Include:
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.
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, SAS, R.
Design technical solutions supporting complex data reporting and analytical tasks. Generate graphical data reports, including data cross-tables, scatter plots and statistical measures.
Qualifications:
3-5 years experience
Relevant experience with machine learning methods and their application for predictive modelling
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Practical experience using Python, or similar statistical coding software to build and test prediction models. comfortable interfacing with business clients. proficiency handling very large data sets
Experience with SAS, R and/or SQL would be an advantage
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
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
Risk ManagementRisk Analytics, Modeling, and Validation
Time Type:
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