AmpsTek - Product Analyst - Wealth Management Domain

Title : Product Analyst (AI and Asset / Wealth Management)

Location : Mumbai, India (Onsite)

Job Description :

We are seeking a highly skilled and analytical Technical Business Analyst / Product Analyst with a strong background in the Asset and Wealth Management Domain, combined with hands-on experience in Artificial Intelligence (AI) technologies, including LLMs like GPT, NLP, and AI-driven solutions.

The ideal candidate will play a critical role in bridging the gap between business objectives and cutting-edge AI solutions, driving innovation and digital transformation Responsibilities :

• Collaborate with stakeholders to gather and analyze business requirements related to AI product implementation in the Asset and Wealth Management domain.
• Translate business needs into clear, actionable product and technical requirements for development teams.
• Drive AI product roadmap planning and help prioritize features with tangible business impact.
• Conduct deep-dive analyses of wealth and asset management data to identify opportunities for AI automation, personalization, and process optimization.
• Partner with data scientists, machine learning engineers, and AI architects to develop and validate AI models, especially LLM-based use cases like document summarization, intelligent chatbots, fraud detection, etc.
• Lead proof-of-concept (PoC) and pilot projects for AI / ML applications in products such as portfolio risk assessment, client service automation, KYC, compliance monitoring, etc.
• Monitor AI model performance, suggest continuous improvements, and ensure explainability and regulatory compliance.
• Stay up-to-date with the latest AI advancements (especially GPT-4 / LLMs), asset and wealth management regulations, and competitive Qualifications :
• 7+ years of experience as a Business Analyst or Product Analyst, with at least 2 years in AI / ML or Generative AI-related initiatives.
• Proven experience in the Asset and Wealth Management industry (e.g., portfolio management, compliance, AML, KYC, client onboarding, investment advisory).
• Familiarity with AI tools, frameworks, and platforms (e.g., OpenAI GPT, Azure OpenAI, Hugging Face, LangChain, etc.)
• Strong understanding of AI concepts such as NLP, machine learning pipelines, LLM fine-tuning, embeddings, and vector databases.
• Ability to write detailed BRDs, PRDs, and user stories with technical depth.
• Experience working in Agile / Scrum environments.
• Proficiency in SQL, Excel, and at least one data visualization or analysis tool (e.g., Power BI, Tableau, Jupyter Notebooks).
• Excellent communication skills with both technical and non-technical Qualifications :
• Formal coursework or certification in AI, Machine Learning, or Data Science (e.g., Coursera, Stanford, DeepLearning.AI, etc.)
• Hands-on experimentation with GPT APIs or prompt engineering in real-world projects.
• Experience with AI use cases such as intelligent document processing, customer chatbots, RAG pipelines, or automated decision-making.
• Exposure to MLOps, AI model monitoring, and explain ability frameworks.

(ref : hirist.tech)