Business Analyst - Gen AI (Banking Domain)

Job Title: Business Analyst - Gen AI (Banking Domain):

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Experience: 8+ yr

 Roles and Responsibilities:

Strong Business Analysis experience (8+ years) supporting transformation initiatives, with exposure to leveraging AI tools to enhance analysis, documentation, and delivery efficiency.

 

• Relevant experience in Gen AI (2-3 years).
• Work with business and technology stakeholders to identify opportunities for integrating AI capabilities into existing processes and operating models.
• Conduct requirements gathering, impact assessment, and gap analysis related to AI-enabled solutions, ensuring alignment with business objectives.
• Demonstrate understanding of AI applications in enterprise environments, including data platforms and Large Language Models, from a business use-case perspective.
• Translate business needs into clear agile d