Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location.Duties: Develop and implement a set of techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Use data analytics and statistical analysis to develop and assess customer risk scoring methodology, monitor trending of risk distribution, and design testing scenarios to ensure that logics are implemented correctly in relevant Anti Money Laundering (AML) and Know Your Customer (KYC) applications. Source client data and produce risk profiles and ratings using Customer Risk Scoring Model. Use descriptive statistics to generate key metrics and visualizations to assess sensitivity of risk distribution, identify trends, and present key metrics to stakeholders across business lines and different regions. Ensure customer risk scoring methodology is implemented correctly. Use scenario testing and stress testing to assess changes and make appropriate estimates on relevant impact. Perform maintenance, monitoring and tuning of Customer Risk Scoring model on an annual basis. Use SAS, R, Python, Excel or equivalents to perform data analysis such as hypothesis testing, sampling, and classification. Use Visual Basic for Applications (VBA), Procedural Language/Structured Query Language (PL/SQL) and Oracle to streamline and automate repetitive daily analytics tasks and improve work efficiency and productivity. Perform maintenance, monitoring and tuning of Geographic risk model, covering exchange and covered regulator list, on an annual basis. Conduct research and evaluate third party reports and indices to develop and maintain Geographic Risk model, Covered Exchange and Covered Regulator Lists. Conduct routine and ad-hoc data analytics to ensure soundness and validity of model development and implementation. Research and review latest regulatory guidance, perform gap analysis, and evaluate impact on customer risk scoring methodology and downstream impact. Design, develop and improve process to automate end-to-end analytics cycle from source data to final deliverable for senior management. Identify and address any anomalies and issues through data analytics process. Coordinate with stakeholders within and outside Know Your Client (KYC) team to incorporate any regulatory, policy and requirement changes. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry. 5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management. Salary range: $163,238 to $163,238/yr; 40 hrs/wk. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #24733907. EO Employer.