Job Summary

This position is an individual contributor role within the AML/BSA Compliance Department. This highly specialized position is responsible for managing all AML BSA OFAC advanced statistical models. The models may cover a variety of products or services; however, all models are part of the AML BSA OFAC inventory and used as part of the financial crime's detection process. This position is responsible for ensuring risk-based execution and compliance of all internal model-related standards and policies by training, reporting, and monitoring applicable processes. This role is accountable for the governance and life cycle of the model; design & development, input processing, implementation, output & use, and performance.

Job Duties and Responsibilities

• Ensures model development, governance, monitoring, and validation approaches meet regulatory expectations and internal Model Risk Management framework.
• Monitors model performance on an on-going basis to maintain model effectiveness.
• Provides analytical support and insights to improve model development, validation, and documentation standards.
• Performs complex mathematical analysis utilizing various statistical methods or techniques including machine learning, logistic regression, and various other statistical techniques to tune or test model configuration.
• Retrieves, analyzes and interprets data from various sources (internal and external). Aggregates and creates data to facilitate statistical analysis for development or validation. Performs ad hoc analysis used for statistical/econometric analysis as required.
• Assesses and measures the potential impact of model limitations, parameter estimation, error and/or deviations from model assumptions; compares model outputs with empirical evidence and/or outputs from model benchmarks.
• Creates deliverables including model documentation, model performance and tuning recommendations. These take the form of presentations, written reports, and analysis spreadsheets.
• Prepares and communicates statistical analysis and findings to Senior Management. Makes recommendations to ensure system functioning as designed.
• Reads, understands, and interprets regulatory rules and guidance related to models that under development and/or being reviewed/validated.
• Understands thoroughly the business products and services to ensure models capture key data elements and risks.
• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.
• Performs other related duties as required.

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Synovus is an Equal Opportunity Employer supporting diversity in the workplace

Minimum Education:

• Bachelor's degree Quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, or Economics or equivalent experience

Minimum experience:

• A minimum of five years of relevant experience in both BSA AML OFAC and a quantitative/analytical/STEM field. A relevant graduate degree may substitute for the required years of experience.

Required Knowledge, Skills, & Abilities:

• Strong statistical modeling experience in Financial Crime Models (AML, Sanctions and Customer Risk Rating) or Artificial Intelligence and Machine Learning Models
• Thorough knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies
• Strong skills in data compilation, programming, and qualitative analysis
• Extensive knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Advanced understanding of applicable compliance laws, regulations, financial services, and regulatory trends that impact model
• Ability to manage multiple tasks across various timelines
• Strong analytical, organizational, problem-solving, negotiation, and project management skills
• Must be a self-motivated worker who is comfortable and effective working with varying levels of guidance
• Excellent verbal and written communication skills are necessary (ability to explain complex ideas in simple, non-technical language
• Ability to build strong relations with stakeholders, business line partners, and colleagues across the bank
• Ability to understand and use various programming languages to identify, investigate and resolve data and mapping issues

Preferred Knowledge, Skills, & Abilities:

• Certified Anti-Money Laundering Specialist (CAMS), Certified Information Systems Analyst (CISA)
• Experience with BSA/AML Models
• Degree in Quantitative/Analytical/STEM field
• Specialized training and work experience with statistical analysis and data modeling
• Knowledge of database management and file access methods
• Proficiency in programming tools like R/Python as well as SQL