Data Science Lead Data Science Lead …

in Warsaw, Mazowieckie, Poland
Permanent, Full time
Be the first to apply
in Warsaw, Mazowieckie, Poland
Permanent, Full time
Be the first to apply
Data Science Lead
Anti-Money Laundering (AML) Technology mitigates money laundering and terrorist financing risks for Citi and its customers in the global marketplace. It uses skilled analysts, state-of-the-art technology and globally standard policies and procedures to ensure effective monitoring and reporting of suspicious activities. The AML Data Intelligence team provides best-in-class analysis and interpretation of data and enables its clients to make fact based decisions that impact all levels of the organization.
  • In collaboration with others, create, analyze, interpret and present routine and ad hoc reports, interpret data and develop recommendations based on findings to provide ongoing appropriate inter-departmental communication
  • Provide written explanations of approach and analysis in clear language that supports the conclusions and observations
  • Apply rigorous data analysis methods to organize, analyze and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
  • Validate data, identify data quality issues (if any) and address them, identify problematic areas and conduct research to determine the best course of action to correct the data
  • Identify, analyze and interpret trends or patterns in complex data set
  • Drive quality, reliability and usability of all work products, evaluate and refine the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency and accuracy
  • Document solutions and present results in a clear straightforward comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary
  • Think outside the box and look for new methods to constantly improve the effectiveness and efficiency of the AML Detection, Monitoring and
  • Operations systems and processes used in Citi
  • Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data
  • Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations

To be considered for this position you must have:
  • Postgraduate degree in science, information technology or quantitative discipline, degree in economics/banking may be considered if very strong analytical skills proved
  • Minimum of 7 years of relevant experience
    Minimum of 2-3 years of experience using SAS, R or other statistical packages for analyzing large datasets
  • Very good working knowledge of SQL, 4GL, VBA, experience with other programming languages is a plus
  • Experience in data mining tools/techniques and procedures
  • Required experience with relational databases such as Oracle, SQL Server and Data Marts/Data Warehouses
  • Data analyst / Statistics background
  • AML Compliance and Mantas knowledge would be a plus
  • Knowledge of the local/regional laws and regulations applicable to anti-money laundering is a plus
  • Previous experience with financial services companies is preferred (retail banking, small business banking, commercial, institutional, private banking)
  • Ability to present complex information in an understandable and compelling manner
  • Ability to deal with all levels of management
  • Self-motivated with the ability to make decisions in the absence of detailed instructions
  • Proven time and task management skills
  • Conceptual and creative thinking skills
  • Demonstrates a strong understanding and application of analytical techniques
  • Initiative, creativity, accuracy and attention to details are essential
  • Fluency in English, written and spoken
We offer:
  • Opportunity to work in an international, multi-cultural environment
  • Cooperation with a high quality team in a challenging area of the financial industry with one of the world's leading companies
  • Access to the latest technologies and tools
  • Excellent working environment
  • Possibility to take part in a wide range of challenging projects
  • The package of trainings, industry certifications
  • Attractive conditions of employment and benefits

Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - PL ------------------------------------------------------
Time Type :Full time ------------------------------------------------------
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