[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
• Ongoing governance activities

This position will participate in model reviews and validation finding mitigation following deployment.

Essential Duties and Responsibilities

• 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.
• Potential eligibility for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.