As a Product - Vice President in the iSPRESO Product Team within Wholesale Credit Risk, you will shape the data model and product capabilities that enable portfolio onboarding and feature delivery for wholesale credit risk. You will collaborate with credit risk stakeholders, subject matter experts, and technology partners to define clear requirements and drive execution. You will use data, metrics, and customer feedback to guide prioritization and continuous improvement. You will contribute to product strategy and help deliver outcomes that support responsible business growth.

 

Job Responsibilities

• Finalize the financial data models for portfolios by working with credit risk stakeholders / customers
• Identify new tech features or enhancements required for implementing the data models
• Leverage LLMs and AI for newer use cases, including implementation of LLM-based financial spreading for the data models
• Contribute towards product strategy and product vision that delivers value to customers
• Partner with solution architects and technologists to influence technical approaches to meet desired business outcomes
• Define and analyze metrics that inform the success of the product
• Provide Product demos and conduct product review and feedback sessions with key stakeholders
• Participate in cross-functional teams to contribute to the product roadmap and prioritization of enhancements and new features
• Drive product development with multiple teams of world-class developers, designers, and product specialists

 

Required  qualifications, capabilities and skills 

 

• Bachelors Degree in a relevant field
• Minimum 6 years of relevant work experience in Credit Risk, Data Strategy, Product or a related capacity
• Strong, clear, and concise written and verbal communication skills with the ability to prepare executive-level communications
• Excellent organizational skills and attention to detail; able to manage competing priorities under tight deadlines
• Proven ability to collaborate, influence, negotiate and build strong partnerships
• Intellectual curiosity with a proven ability to learn quickly
• High degree of initiative, self-direction, and ability to work well under pressure
• Understanding of financial data and its relevance for credit and banking use cases
• Ability to lead, drive consensus, and deliver in a matrix organization with multiple stakeholders
• Experience using data and metrics to drive decisions
• Proficiency in process re-engineering or similar

 

Preferred qualifications, capabilities and skills 

• Prior experience in implementation of AI-based solutions
• Experience working with Technology and UX Design colleagues and discussing technical designs

Wholesale Credit Risk Product/Data Strategy, Vice President