Required Qualifications:

- Bachelor's or master's degree in engineering, Finance, Statistics background

- 6+ years of Analytics experience

- Proficiency in AI framework and tools adoption (e.g. python, copilot, gen AI), data querying (SQL), advanced analytics platforms (Power BI, SAS, tableau), big data technologies (Hadoop, Dremio/Hive/PySpark), cloud technologies (GCP, Azure)

- Certification in SAS, Python, Power BI, Power App is a plus

- Strong hands-on experience in Pricing Analytics, including development of pricing models, profitability assessment frameworks, and rate/fee impact analysis.

- Demonstrated capability in model documentation, adherence to governance standards, and analytical transparency.

- Experience conducting profitability analysis for compensation plans, product pricing, and customer-level margins.

- Solid understanding of financial statements (Balance Sheet, P&L, and Cashflow) with the ability to translate financial outcomes into pricing decisions.

- Strong financial acumen with the ability to assess the financial impact of pricing strategies, rate revisions, and product-level analytics.

In this role, you will:

- Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors

- Perform data analysis to support and drive strategic initiatives and business needs

- Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements

- Lead or participate on large cross group projects

- Mentor less experienced staff

- Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals

- Leverage a solid understanding of compliance and risk management requirements for supported area

- Continuously track and integrate emerging AI trends and technologies to enhance the sophistication and accuracy of analytical solutions within the bank.

- Perform advanced Pricing Analytics across products and customer segments, including hands on development and refinement of pricing models, profitability frameworks, and scenario analysis.

- Conduct model documentation, governance alignment, and periodic validation to ensure transparency, compliance, and audit readiness.

- Execute ad hoc profitability analyses related to compensation structures, product pricing, rate strategies, fee impacts, margin movements, and customer-level profitability.

- Apply strong financial acumen to interpret and evaluate balance sheets, P&L statements, and cashflow statements, enabling data driven pricing and business recommendations.

- Partner with Finance, Product, Risk, and Pricing strategy teams to drive pricing optimization, rate-change assessments, elasticity studies, and strategic price-setting decisions.

- Integrate pricing insights into dashboards and analytical models to support strategic initiatives and senior leadership decisions.

Desired Qualifications:

- Ability to develop partnerships and collaborate with other business and functional areas

- Proven organization, self- management, collaboration, leadership skills.

- Experience with iterative development approach.

- Excellent verbal, written and interpersonal communication skills.

- Demonstrated ability to create and improve process through strategic thinking.

- Knowledge and understanding of data warehouse or data mart concepts.

- Demonstrated expertise in Data mining, analysis and visualization of large financial datasets.

- Knowledge of data privacy, risk and controls related to banking sector.

- Experience with iterative development approach (Agile)

- Experience with source control (GitHub)

- Experience with issue and project tracking (JIRA)