Sr. Quantitative Model Development Analyst

Application Process

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Regular or Temporary:
Regular

Language Fluency:
English (Required)

Work Shift:

1st shift (United States of America)

• 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.
• Develop awareness of key partnerships specific to models within targeted scope of responsibility.
• Areas of model development include market, commercial, retail, credit, financial crimes, CCAR, CECL, finance and compliance risk.
• Participate in model reviews and validation finding mitigation following deployment.
• 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.

• Must have a Master’s degree in Statistics, Econometrics, Finance or other applied quantitative science.
• Must have 1 year of experience in quantitative analysis positions within the financial services and/or banking industry performing/utilizing the following:
  • Developing, documenting, and testing statistical models specific to finance and risk measurement estimation methodologies
  • Statistical programming with Python (Num Py and Pandas), R, and SAS
  • Query language using SQL, including Postgre
    
    SQL and SQL Server
  • Using Microsoft Excel and add-ins (Essbase)
  • Data visualization tools:
    Tableau and Power BI
  • Distilling complex mathematical concepts into actionable results
  • Risk modeling and analytics:
    Monte Carlo simulation, Value at Risk, Machine Learning models, Probability of Default (PD) modelling, CECL modelling, and Loss Given Default (LGD) modeling.
  • Using Git version control:
    Git Hub, Git Lab, and Azure Dev Ops
  • Position may be eligible to work hybrid/remotely but is based out of and reports to Truist offices in Charlotte, NC. Must be available to travel to Charlotte, NC regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and…