Citi Manager for AML Scenario Management and Validation team in Warsaw, Poland

  • Primary Location: Poland,Mazowieckie,Warsaw

  • Education: Bachelor's Degree

  • Job Function: Risk Management

  • Schedule: Full-time

  • Shift: Day Job

  • Employee Status: Regular

  • Travel Time: Yes, 10 % of the Time

  • Job ID: 17044357

Description

The Manager for AML Scenario Management and Validation team will manage a small team of Statisticians and Data Miners in building, reviewing and validating the models that are under responsibility of AML Scenario Model and Validation team (Alert Risk Scoring, Case Risk Scoring, Segmentation, Thresholds) within the agreed schedule and following globally consistent methodology.

The Manager for AML Scenario Management and Validation team will be responsible for seeking improvement in methodology or/and creating new solutions – based on subject matter expert knowledge. Although the main target will be to manage the team in terms of methodology and theoretical/academic knowledge, he/she needs also have practical knowledge and experience to execute the analysis (including extraction of data and programming) without supervision.

The individual will also be expected to supervise projects that are executed at the Regional team level assuring high quality documentation and end-to-end coordination.

Requirements include management experience with both data analysis and statistical tools (with an interest in or experience with financial data). Strong background in statistical techniques (especially discriminant analysis, regression, decision trees) and methodology (sampling approaches), financial modeling of capital markets, and/or regulatory/risk analyses is advantageous. Experience with relational databases (especially Oracle) and SAS software is highly desirable.

Fluency in English and very good written and verbal communication skills are necessary.

Key Responsibilities:

  • Supervise and/or conduct data-driven analysis and reports. Apply qualitative and quantitative data analysis methods. Validate data, identify data quality issues (if any) and address them. Apply rigorous statistical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs.

  • Build an effective team assuring capacity to address business needs. Identify and develop talents and prepare succession plans for key positions in the team.

  • Coach and supervise juniors, give directions, ensure the quality of analysis and work done and raise the standard of juniors to the next level of excellence and maturity.

  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers. Provide written explanations of approach and analysis in plain language that supports the conclusions and observations.

  • 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.

  • Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions and status quo. Escalate identified risks and sensitive areas in terms of methodology and processes.

  • 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.

  • Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary.

  • Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations

Qualifications

Knowledge/Experience:

  • Strong statistical/data analytical skills, including data quality validation, descriptive statistics and predictive modeling experience.

  • Minimum of 4-5 years of experience with statistical software packages such as SAS, SPSS, etc.

  • Knowledge of some programming languages (preferably SQL and/or 4GL)

  • High proficiency in MS Office, especially MS Excel

  • Required experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses.

  • Minimum 4-5 years of relevant experience in large, complex environments

  • Mantas, AML monitoring systems and Spotfire experience 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)

  • Experience in managing a team is preferred

Skills:

  • Demonstrates a strong understanding and application of analytical techniques

  • Ability to effectively communicate, both orally and in writing, through all levels of the organization.

  • Self-motivated with the ability and maturity to make decisions in the absence of detailed instructions

  • Methodical analysis and problem-solving skills

  • Initiative, creativity and attention to detail are essential

  • Conceptual and creative thinking (outside the box)

  • Able to coordinate and deal with various level and conflicting time demands

  • Ability to work non-standard business hours, including weekends and holidays as determined by the business needs.

  • Qualifications:

  • Master degree in statistics/mathematics/technical science

  • Degree in economics/banking may be considered if strong analytical skills proved.