Pricing & Profitability Strategist (Hybrid)

Citizens; Shelton (CT); Presencial; USD 110.000 - 144.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision coverage

Retirement benefits

Flexible work arrangements

Education reimbursement

Wellness programs

Paid time off policy

Descripción de la vacante

Citizens is seeking a Senior Pricing & Profitability Analyst to lead pricing strategy for unsecured consumer lending. You will develop models, deliver profitability analyses, and provide data-driven recommendations for governance and senior leadership.

You will build automated dashboards and pipelines using Tableau, SQL, SAS, and Python, while collaborating with cross-functional teams to optimize pricing and portfolio performance.

Formación

• Bachelor's degree in Business/Finance, Economics, Analytics, or related discipline is required.
• Master's degree is preferred.
• 3+ years in an analytically driven role: Pricing, Credit Risk, Analytics, or Finance.

Responsabilidades

• Develop and execute pricing strategies for consumer lending portfolios with governance oversight.
• Own pricing and profitability modeling: performance reporting, forecasting, back-testing, and documentation.
• Deliver advanced analytics on customer behavior, price elasticity, portfolio trends, and risk-adjusted profitability.
• Use internal, bureau, and market data to identify trends and support pricing decisions.
• Build automated reporting with Tableau, Excel, SAS, SQL, or Python; create dashboards and data pipelines.

Conocimientos

Pricing

Credit Risk

Analytics

Finance

Educación

Bachelor's degree

Master's degree

Herramientas

SQL

SAS

Tableau

Descripción del empleo

Citizens is seeking a Senior Pricing & Profitability Analyst to lead pricing strategy for unsecured consumer lending. You will develop models, deliver profitability analyses, and provide data-driven recommendations for governance and senior leadership.

You will build automated dashboards and pipelines using Tableau, SQL, SAS, and Python, while collaborating with cross-functional teams to optimize pricing and portfolio performance.