About the company: Accumn - a Yubi company, is India’s most advanced AI-first credit decisioning platform, integrating machine learning (ML) and generative artificial intelligence (GenAI) to empower credit managers with precise, data-driven tools for fair and transparent lending decisions. Formed through the strategic consolidation of Corpository and FinFort, Accumn offers a comprehensive suite of solutions to support the entire credit lifecycle—from lead generation and risk management to post- disbursement monitoring. With over 1 lakh active banking and credit users, Accumn has achieved a 66% reduction in credit processing time and boasts an 85% success rate in predicting defaults. The platform has over 5 lakh entities under credit monitoring. The company has been recognized for “Best Use of AI & ML Models for Credit Default Prediction” by Banking Frontiers and “Best Use of AI in Risk Evaluation” by Dun & Bradstreet. Visit www.hello.accumn.ai and www.go-yubi.com to learn more. About the Role: We are looking for an experienced Analyst to spearhead the Analytics initiatives comprising of cutting-edge credit risk assessment models, Unstructured document reading solutions, Data Analysis and more for our banking, NBFC, and fintech customers. In this pivotal role, you will build credit underwriting and risk management strategies, champion innovation in AI/ML-powered customer journey mapping, and drive the development of transformative product solutions for our lending partners. You will leverage your expertise to deliver industry-leading, technology-enabled credit underwriting and risk assessment solutions—empowering lenders to make precise, data- driven lending decisions and mitigate financial risks effectively. Education: CA/CFA/MBA(Finance) Key Responsibilities: • Exceeding Customer Expectations: Engage proactively with clients, deeply understanding their business requirements. Ensure all analytical models and scorecards not only meet but exceed customer expectations, delivering reliable, actionable insights in a timely manner. Collaborate with sales, products and engineering teams to ensure that customers’ expectations and experiences are met and delivered. • Product Development Leadership: Collaborate with engineering and product teams to drive the integration of AI/ML into next-generation financial products and systems, ensuring solutions are tailored for the unique needs of the banking and lending industries. • Business Requirements & Leadership: Drive complex, cross-functional requirements gathering, documentation (including PRDs), and project delivery. Engage in maintaining and prioritizing Product backlog to accommodate business needs. Build and mentor high-performing teams, establish best-in-class processes, and foster a culture of operational excellence. • Communication & multi-tasking: Articulate complex concepts to diverse stakeholders. Expertly manage competing priorities and deliver quality results within tight deadlines, thriving in fast-paced, dynamic environments. • Exposure to data science projects: Collaborate with data science teams to conceptualize, develop, and deploy machine learning models and AI-driven product features. Demonstrate hands-on experience working on data-driven product initiatives, including data exploration, model design, and experimentation. • Credit Underwriting Expertise: Provide strategic solutioning in credit underwriting and risk management practices for banks, NBFCs, and fintech companies. Implement industry best practices ensuring optimized risk assessment and compliance. • Requirements What we look for: • 4+ years of experience in product development, product management, or related roles within banking, NBFC, or fintech organizations, with a strong focus on credit and risk management solutions. This role requires building solutions for credit underwriting and risk management, so domain experience will help in a long way. • Track record of successful product development from prototype through launch stage, especially for credit and risk management solutions. • Strong project management, team leadership, and stakeholder engagement skills. • Excellent written and verbal communication skills.