Senior Quantitative Model Development Analyst- AML

Job Title

Focus on aspects of model development specific to finance and risk measurement estimation methodologies. Responsible for aspects of the development life cycle of quantitative models. Assist with identifying and escalating model risks. Develops awareness of key partnerships specific to models within targeted scope of responsibility. Areas of model development include financial crimes inclusive of AML, Sanction Screening, and fraud detection. This position may also lead periodic model review and validation finding mitigation following deployment.

Essential Duties and Responsibilities

• Conduct specific aspects of the model development life cycle. The model development life cycle includes data acquisition, assessing data integrity, model development, documentation, implementation assistance and assisting with closing assurance provider issue related to the model.
• Evaluate, develop and maintain monitoring, performance reporting, and change-management processes. Work with stakeholders to ensure models fulfill the business objectives set for them.
• Ensure assigned parts of model development projects and processes comply with Truist requirements for model risk management and other policy requirements.
• Request or assist with mentoring and training to accelerate model development in areas of techniques, process and business knowledge.
• Assist with user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers and oversight groups.
• Address model questions from partners within the firm as needed, including assurance providers.
• Assist with identifying, recruiting, and maintaining, quantitative talent.

Qualifications

Required Qualifications:

• Two or more years of relevant experience in best practices, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models using SAS or other applicable model development software/programming tools
• Strong English communication skills, both written and verbal
• Ability to distill complex mathematical concepts into actionable results
• Strong work ethic; promote and conduct continued development of personal and associate knowledge base and technical skills
• Organization skills: Ability to communicate and manage competing organizational priorities effectively
• Problem solving skills: Strong problem solving skills
• Education: Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science, or equivalent education and related training

Preferred Qualifications:

• Master's degree/PhD
• Demonstrate expertise in financial crime modeling, including Anti-Money Laundering (AML), Sanction Screening, and Fraud detection methodologies. Experience with regulatory requirements and advanced analytics for these domains is highly preferred
• Some experience in risk management
• Some knowledge/experience of best practices and current regulatory environment

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law.