[Hiring] Senior Quantitative Model Development Analyst @Truist

Role Description

Focus on the development, implementation, monitoring, and enhancement of Anti-Money Laundering (AML) and Financial Crimes quantitative models and analytics. Responsible for supporting all phases of the model development lifecycle, including data analysis, feature engineering, model development, documentation, implementation, performance monitoring, and ongoing governance activities. This position will participate in model reviews and validation finding mitigation following deployment.

• Conduct specific aspects of the model development life cycle, including data acquisition, assessing data integrity, model development, documentation, implementation assistance, and closing assurance provider issues 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

• 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.

Requirements

• Master's degree/PhD (Preferred).
• Relevant professional designation(s) (Preferred).
• Experience developing, implementing, validating, or monitoring models and analytics in AML transaction monitoring, sanctions, fraud, or other financial crimes risk management areas (Preferred).
• Some knowledge/experience of best practices and current regulatory environment (Preferred).

Benefits

• Medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan.
• No less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during the first year of employment.
• 10 sick days (also prorated) and paid holidays.
• Eligibility for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan may apply.