Senior AML Data Modeling Analyst

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* Apply quantitative and qualitative data analysis methods including Python (and R), SQL to extract, transform and analyze data.
* Prepare statistical and non-statistical data for visualization and exploration, validate data, identify data quality issues in AML risk related projects.
* Contribute towards AML Optimization techniques and related deliverables i.e. Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; write formal documentation using statistical vocabulary.
* Build Machine Learning (Predictive Modeling/ Classification/ Regression) models.
* Conduct data analysis, data mining, read and create formal statistical documentation, and work with Technology and Sponsors to address issues.
* Analyze and interpret data reports, make recommendations addressing business needs.
* Validate assumptions, escalate identified risks and sensitive areas in methodology and process.
* Automate recurring data extraction and data pre-processing tasks, perform ad-hoc data analyses, and provide documentation and presentations.
* Appropriately assess risk when business decisions are made keeping in mind the firm's reputation by being compliant with applicable laws, rules and regulations and adhering to Policy.
* Apply sound ethical judgment regarding personal behavior, conduct and business practices, and escalate, manage and report control issues with transparency.
* Experience in creating and assessing Statistical Models.
* Good working knowledge of Python, SQL & MS Office Suite.
* Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls.
* Team working experience (demonstrated team player ability required).
* Understanding of technical requirements, ability to communicate with Technical Support.
* Ability to manipulate data using SQL or equivalent.

** Desirable:
*** Experience with data exploration
* Mantas and AML monitoring systems experience or other transaction monitoring systems a plus
* Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus
* Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)
* Knowledge of any programming language or dedicated statistical software would be an advantage
- Strong statistical/ data science related academic background, knowledge of quantitative methods, including predictive modeling techniques and including both calculation and interpretation of outcome.
* Initiative, creativity and attention to detail are essential.
* Ability to work under close supervision of a functional team manager, while preserving independence of thinking and responsibility for the results.
* Ability to discuss reasoning, critical assessment of facts and opinions; ability of giving comprehensive answers and arguments.
* Conceptual and creative thinking (outside the box).
* Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units.
* Self-motivated with high desire of self-development and learning.
* Must be able to coordinate and deal with conflicting time demands.
* Ability to work non-standard business hours, including weekends and holidays as determined by the business needs. Flexibility will be expected.
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