Vice President

Responsibilities

• Develop and execute a comprehensive sales strategy to drive growth for credit underwriting and risk assessment solutions within the South India region.
• Identify and target new business opportunities by generating leads and building relationships with key decision-makers in Banks, NBFCs, and Fintechs.
• Build and maintain strong relationships with senior stakeholders, including Chief Risk Officers and Chief Credit Officers.
• Lead the end-to-end sales cycle, from initial prospecting and relationship building to contract negotiation and deal closure.
• Collaborate with internal product, marketing, and tech teams to ensure solutions align with market trends and customer requirements.
• Track sales metrics and KPIs, providing regular reports on pipeline status and revenue forecasts to the executive team.

Requirements

• Minimum of 10+ years of sales experience in the fintech, banking, or financial services industry.
• At least 2 to 3 years of experience specifically selling to Banks, NBFCs, or the Fintech segment in India.
• Proven track record of selling complex B2B software or technology solutions.
• Strong knowledge of the BFSI sector and the credit evaluation process, including financial and ratio analysis.
• Deep understanding of credit assessment parameters such as GST, external ratings, and legal matters.
• Excellent communication, presentation, and negotiation skills with the ability to influence senior-level stakeholders.
• Ability to travel as needed to meet clients and oversee business development initiatives.

Preferred Qualifications

• Master’s degree in Business, Finance, or Economics.
• Professional certification such as Chartered Accountant (CA) or CFA.

About the Company

Accumn, a Yubi company, is India’s most advanced AI-first credit decisioning platform. By integrating machine learning and generative AI, Accumn empowers credit managers with precise, data-driven tools for fair and transparent lending decisions. The platform supports the entire credit lifecycle, helping users reduce processing time and improve default prediction accuracy.