IIFL Finance - Business Product Manager

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.