SVP, AML SDE Model Development and Transformation Lead - NAM/LATAM- Hybrid
Tampa, Florida
Job Req ID 22513684Overview
Our international footprint will give you access to unique intelligence and decades of experience. And by joining our Anti-Money Laundering team – one of the most international areas at Citi – you will touch every aspect of the company and make critical decisions for our clients, for your career, for every employee, and for the business.
Success Profile
- Analytical
- Detail oriented
- Leadership
- Communicator
- Relationship expertise
- Persuasive
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Responsibilities
SDE Model Development and Transformation Lead will manage all Scenario Development and Enhancement activities related to model development in NAM/LATAM and lead the SDE workstream of AML Transaction Monitoring transformation program.
The successful individual will report to Regional SDE Head and will be responsible for leading the SDE Model Development and Transformation team in Tampa (FL) assuring that they have necessary capacity, training, tools and data allowing to execute all analyses on time, following respective procedures and standards and with necessary quality.
The individual will have direct interaction with Model Risk Management and Internal Audit functions during Exams and will support SDE Head during Regulatory Supervision meetings where he/she will be required to answer questions related to methodology, execution of Model Development and AML Transaction Monitoring Transformation projects and operational details with limited control and influence from management. This will require specialized statistical and process knowledge and extensive experience in applying quantitative science in the financial crime prevention area.
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 modelling of capital markets, and/or regulatory/risk analyses is advantageous. Programming experience with data analysis and data processing in relational databases (especially Oracle), Big Data (Hadoop), SAS, Python and R software is highly desirable.
Fluency in English and very good written and verbal communication skills are necessary.
Key Responsibilities:
- Manage the execution and be the owner of all SDE activities in Model Development and Transaction Monitoring Transformation that include:
- Execution of Model Development activities supporting ongoing monitoring and maintenance.
- Design and development of any necessary corrections to existing typologies as part of TM Transformation from rule-based into model-driven detection process.
- Reporting and documentation of any activities in Model Development and Transformation in line with existing policies and procedures
- Design and development of new features or typologies in close collaboration with the Monitoring Risk Coverage team.
- Lead the NAM&LATAM Model Development team which involves managing capacity, hiring and developing talent, building effective networks with partners involved in Model Risk Management, Transformation and Monitoring Risk Coverage.
- Lead the SDE part of TM Transformation effort in NAM ICG and coordinate global activities related to Transformation across SDE Global Team. This will involve close collaboration with TM Transformation Lead, communication, knowledge sharing, negotiating capacity, formulating methodology and documenting procedures.
- Represent SDE in front of IA during periodic exams and ad-hoc reviews.
- Assist the Global SDE Head in any discussions with regulators especially with respect to preparation of materials or responses related to Transaction Monitoring Transformation.
- Build and maintain effective collaboration model between Transaction Monitoring, FIU, AML Technology and other partners involved in AML Transaction Monitoring model design and implementation.
- Remove organizational boundaries by educating all partners about SDE processes (e.g. features and typologies development, data cleansing, scenario design and enhancements, documentation standards, etc.).
- Develop the team skills in areas of quantitative methods, data analytics, AML knowledge, management initiatives and soft skills.
- Support the SDE MCA process and IA or regulatory inquiries in relation to Model Development, execution, procedures and methodologies.
- Timely report status and risks to SD&E management, formulate and recommend possible risk mitigations, keep track of documentation.
- Detect data anomalies and identify source of data problems. Recommend data quality solutions and assist in fixes
Qualifications:
- 10+ years of experience and at least 6 years of experience in Anti Money Laundering Field
- Sound knowledge of statistical modelling concepts and industry best practices; experience with econometric and statistical modelling or application risk scoring.
- Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
- Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, Python) Proficient with MS Office suite.
- Excellent communicator; ability to engage and inspire team forward.
- Ability to deliver compelling presentations and influence executive audiences.
- Intellectual curiosity to stay abreast of technological advances.
- Ability to drive innovation via thought leadership while maintaining end-to-end view.
- Leadership experience, with emphasis on cross regional and remote team management and talent development.
- Demonstrated project management and organizational skills and capability to handle multiple projects at one time .
- Effective cross-functional project, resource, and stakeholder management.
- Industry knowledge of AML processes and applications including but not limited to case disposition processes by FIU, tuning and optimization, data management, SAR filing, etc.
- Experience working in Big data environments;
Education:
- Bachelor’s/University degree or equivalent experience required
- Master’s degree in a quantitative field (applied statistics, mathematics, physics, econometrics, management information systems, etc.) preferred
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Job Family Group:
Risk Management-------------------------------------------------
Job Family:
Risk Analytics, Modeling, and Validation------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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.
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View the EEO Policy Statement.
View the Pay Transparency Posting
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Effective November 1, 2021, Citi requires that all successful applicants for positions located in the United States or Puerto Rico be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccination prior to commencement of employment.
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