Overview
On Site
USD 163,238.00 - 163,238.00 per year
Full Time
Skills
Know your customer
SQL
Acceptance testing
Data Science
Programming languages
Data Analysis
Statistics
Scenario testing
Stress testing
Visual Basic
PL/SQL
Gap analysis
Business analysis
Risk management
Relational databases
Defect management
Leadership
Jersey
Analytics
Data
Visualization
Distribution
Design
Testing
AML
Metrics
Estimating
IMPACT
SAP BASIS
SAS
R
Python
Microsoft Excel
VBA
Oracle
Productivity
Microsoft Exchange
Research
Management
Policies
Telecommuting
Administration
Regulatory Compliance
Banking
Finance
Job Details
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. Applicants submit resumes at Please reference Job ID #24733907. EO Employer.
Wage Range: $163,238 to $163,238
Job Family Group: Technology
Job Family: Data Science
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Job Family Group:
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Job Family:
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Time Type:
Full time
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Primary Location:
Jersey City New Jersey United States
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Primary Location Full Time Salary Range:
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Anticipated Posting Close Date:
May 30, 2024
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .
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. Applicants submit resumes at Please reference Job ID #24733907. EO Employer.
Wage Range: $163,238 to $163,238
Job Family Group: Technology
Job Family: Data Science
------------------------------------------------------
Job Family Group:
------------------------------------------------------
Job Family:
------------------------------------------------------
Time Type:
Full time
------------------------------------------------------
Primary Location:
Jersey City New Jersey United States
------------------------------------------------------
Primary Location Full Time Salary Range:
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
------------------------------------------------------
Anticipated Posting Close Date:
May 30, 2024
------------------------------------------------------
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .