Responsible for new business tie ups with Business Entities. Drive and achieve budgets/business targets. Work closely for new customer addition and maintaining relationship with acquired customer. To penetrate client with various products like Loans /Transaction Banking/Trade Finance for the primary Relationship & Group companies. To build relationships with key persons (CFOs/ promoters/Owners/ Decision Influencers) in the target segments & build client trust & confidence. Focus on continually increasing book size and profitability of the assigned portfolio. To understand client business model, trade related activities, cash flows etc. and identify opportunities and grow client relationships. To be alert on competitive elements in the target segments & augment the presence and penetration of the ITRUST FINSERV brand in the target market Maintain high caliber client service. Proactively communicate financial consulting offerings to targeted set of customers. Assessing the market, identify and gather competition information. Maintaining portfolio quality, delinquency monitoring and ensuring no cases flow to NPA. Control the entire business and ensure complete customer delight.
New customer acquisition for Loans Managing relationship with customers Providing Service to customers
Required Skill Sets & Qualifications. 1. Technical Skills (The Builder's Toolkit)Core Programming: Expert proficiency in Python (essential for AI/ML libraries). AI/ML & NLP: Strong hands-on experience with: Large Language Models (LLMs): Practical experience in working with APIs of OpenAI (GPT-4), Google Gemini, Anthropic Claude, or open-source models (LLaMA 2, Mistral). Prompt engineering is a key skill. Frameworks: LangChain, LlamaIndex for building sophisticated agentic workflows. Natural Language Processing (NLP): Libraries like spaCy, NLTK, Hugging Face Transformers. Optical Character Recognition (OCR): Experience with tools like Adobe Extract API, Google Document AI, Amazon Textract, or open-source options (Tesseract) for Indian documents. API Integration: Mastery in connecting various systems via RESTful APIs and webhooks (e.g., connecting a chatbot to a CRM and a document database). Low-Code/No-Code Platforms: Experience with leveraging platforms like Zapier, Make.com, n8n, or Microsoft Power Automate to quickly prototype and connect different SaaS tools is a huge plus. Cloud & DevOps: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of deploying and maintaining AI models (e.g., using AWS SageMaker, Google Vertex AI). Data Security: Understanding of encryption, secure API protocols, and data anonymization techniques crucial for handling sensitive financial data. 3. Soft Skills & Mindset (The Architect)Systems Thinking: Ability to see the entire customer and operational journey and build interconnected agents, not isolated bots. Problem-Scoping & Solutioning: Can break down a complex business problem (e.g., "analyze documents") into a technical workflow (e.g., "trigger -> OCR -> data extraction -> validation -> CRM update"). Agility & Learning: The AI field moves fast. A constant desire to learn and experiment with new tools and models is critical. Communication: Must be able to explain complex AI concepts to non-technical stakeholders (management, loan consultants). Project Management: Ability to manage this large-scale integration project, prioritize tasks, and deliver functional modules. How to Apply. Interested candidates should submit their resume along with a cover letter or portfolio link that must include: Examples of previous AI automation projects you have built. A brief paragraph on how you would approach integrating any two of the systems mentioned above (e.g., connecting a Document Analysis system to a CRM). Any experience specific to the Indian financial sector.