Model Development Analyst, Treasury

Job Summary:
The Quantitative Analyst is responsible for developing, validating, and implementing advanced quantitative models to support risk management, financial forecasting, and strategic decision-making. This role leverages statistical, mathematical, and programming expertise to analyze complex data sets, ensure model accuracy, and provide actionable insights to business leaders.

Job Duties and Responsibilities:

• Design, develop, and validate statistical and financial models for risk assessment, forecasting, and portfolio management; analyze large and complex data sets to identify trends, patterns, and opportunities; ensure compliance with internal policies and external regulatory requirements; collaborate with risk, finance, IT, and business units to optimize model performance and integration; monitor and report on model performance metrics; resolve complex modeling and analytical issues; develop and implement process improvements to enhance model accuracy and efficiency; maintain accurate and up-to-date model documentation; support model governance and audit processes; stay current with industry trends, emerging technologies, and regulatory changes; provide training and mentorship to junior analysts.

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

Pinnacle is an Equal Opportunity Employer committed to fostering an inclusive work environment.

Minimum Education: Bachelor's degree in Mathematics, Statistics, Finance, Computer Science, or related field;

Minimum Experience: Minimum of 10 years of experience in quantitative analysis, model development, or related roles;

Required Knowledge, Skills & Abilities: Strong knowledge of statistical modeling, risk management, and regulatory requirements; excellent analytical, decision-making, and problem-solving abilities; proficiency with modeling software and programming languages (e.g., Python, R, SAS); outstanding communication and interpersonal skills; ability to work collaboratively with internal and external stakeholders; advanced degree (Master's or PhD) preferred.

Preferred Knowledge, Skills, & Abilities:

• General banking and business knowledge.