Job Description

Job Title: Business Product Manager Vision of the Company: We at IIFL Home Finance is keen in building a revolutionary lending platform that leverages advanced AI algorithms to assess creditworthiness beyond traditional metrics, personalize loan products, and streamline the entire lending process. Mission of the Company: To develop and deploy cutting-edge AI technology to: - Revolutionize credit assessment by incorporating diverse data sources and alternative credit scoring models. - Automate and streamline the lending process, ensuring speed, efficiency, and accuracy. - Personalize loan products and services to meet the unique financial needs of each borrower. - Promote transparency and ethical lending practices, mitigating bias and fostering trust. Core Values of the Company: - Financial Inclusion : We believe everyone deserves access to fair and affordable credit. - Transparency and Trust : We operate with integrity and provide clear, unbiased information. - Innovation : We continuously explore and implement cutting-edge AI technologies. - Customer-Centricity : We prioritize the needs and experiences of our borrowers. - Ethical AI: We are committed to developing and deploying AI responsibly and ethically. - Data Security and Privacy : We are committed to protecting our customers data. About the Role: We are seeking for dynamic and results-driven Business Product Manager with a strong understanding of AI to join our growing team. In this role, you will be responsible for defining and driving the strategy, roadmap, and execution for creating AI-powered Products & process ecosystem. You will work closely with AI/ML engineers, data scientists, design, business team, and other stakeholders to deliver innovative AI-driven products that meet our customers' needs and drive business growth. Responsibilities: Product Strategy and Roadmap ( AI-Focused ): - Develop and maintain a clear product vision, strategy, and roadmap aligned with business objectives, incorporating AI capabilities. - Conduct market research and competitive analysis, with a focus on AI trends and applications. - Define and prioritize product features based on customer needs, business value, and AI feasibility. - Collaborate with AI/ML engineers to understand the capabilities and limitations of AI models. - Product Development and Execution ( AI Integration ): - Collaborate with AI/ML engineers and design teams to define product requirements and specifications, including AI model integration. - Lead the product development lifecycle from concept to launch, ensuring timely and high-quality delivery of AI-powered features. - Manage product backlogs, prioritize tasks, and facilitate agile development processes, including those related to AI model training and deployment. - Monitor and analyze product performance metrics, including AI model performance, to identify areas for improvement. Key Success Metrics: - Increased financial inclusion (measured by loan approval rates for underserved populations). - Reduced loan processing time and costs. - Improved customer satisfaction and retention. - Lower default rates and improved portfolio performance. - Growth in market share and brand recognition. - Measured reduction in bias in loan approvals Qualifications: - Bachelor's degree in business, engineering, computer science, or a related field (Master's degree preferred), with a strong interest or background in AI. - 1-5 years of experience in product management, preferably in lending industry, with exposure to AI-driven products. - Proven track record of successfully launching and managing products, including those with AI components. - Strong understanding of agile development methodologies. - Excellent analytical, problem-solving, and decision-making skills, with the ability to interpret and apply AI-related data. - Strong communication, presentation, and interpersonal skills, with the ability to explain complex AI concepts to non-technical audiences. - Ability to work effectively in a fast-paced and dynamic environment, including those involving rapidly evolving AI technologies. - Experience with data analysis tools, and techniques, including those used in AI/ML. - Strong understanding of business models, and financial metrics. - Basic familiarity with AI/ML concepts, such as machine learning algorithms, natural language processing, or computer vision. - Familiarity with UX/UI design principles.