Job Description

Job Title: Data Analyst

Company Domain: Financial Services | Investment Analytics | AI & Data Intelligence

Years of Experience: 2–5 years

Location: Pune,Bengaluru

Role Type: Full-Time Role

Salary: As per industry standards

Eligibility:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Analytics, or related fields
• 2–5 years of professional experience in software engineering, data analytics, machine learning, or related areas
• Strong interest in AI-driven financial solutions

Role Overview

TresVista is seeking a Senior Analyst / Associate to join its Data Intelligence Group. This role is ideal for candidates who are curious, adaptable, and excited about building AI-powered financial solutions. You will work on the design and deployment of advanced systems leveraging Large Language Models (LLMs), AI agents, knowledge graphs, and vector search in a cloud environment to transform investment analysis, due diligence workflows, and financial data insights.

Key Responsibilities

• Design, develop, test, and maintain software components and machine learning pipelines
• Build and enhance in-house AI agent frameworks, including memory, routing, caching, feedback loops, and chaining mechanisms
• Develop multi-agent AI workflows using LangChain and LangGraph for automated investment analysis
• Implement prompt engineering strategies across LLM platforms such as OpenAI, Anthropic Claude, and Google Gemini
• Build scalable backend systems using FastAPI for large-scale document processing during due diligence
• Develop and deploy FastAPI services that deliver AI-powered insights to investment teams
• Implement secure authentication and data access controls to protect sensitive financial information
• Collaborate with business, front-end, back-end, and data teams across the organization
• Utilize Redis for caching and coordination in cloud-based environments (GCP)

Skills and Qualifications

• Strong programming fundamentals in Python
• Hands-on experience with FastAPI and backend system development
• Practical experience with LLM-based systems, AI agents, and prompt engineering
• Familiarity with cloud platforms (preferably Google Cloud Platform)
• Understanding of ML pipelines, document processing, and scalable system design
• Strong analytical, critical thinking, and problem-solving skills
• Excellent communication skills and ability to work with investment professionals
• High attention to detail when handling sensitive financial data