Senior Associate Data Analytics
We are seeking someone from finance background with technically strong, automation-focused professional (4+ years experience) to help modernize and scale our finance analytics capabilities using AI, intelligent automation, and advanced analytics engineering.
This role will focus on:
- Building automation pipelines using Python and workflow tools (e.g., n8n)
- Designing and deploying AI agents using Lang Chain and GenAI technologies
- Developing structured prompt frameworks to support financial and transformation analytics use cases
- Creating scalable insight-generation systems to accelerate scenario modeling and value tracking
- Integrating AI-powered workflows into transformation decision processes
The ideal candidate combines strong Python and data skills with hands-on experience in AI agent development, prompt engineering, and workflow automation, along with the ability to translate business problems into scalable technical solutions.
Key Responsibilities
- Automation & Workflow Engineering
- Design and implement automated analytics pipelines using Python
- Build workflow orchestration using tools such as n8n
- Automate workflows, validation checks, and reporting processes
- Develop alerting and monitoring systems for data quality and anomalies
- AI Agent Development
- Build and deploy AI agents using Lang Chain (or similar frameworks)
- Design tool-enabled agents capable of:
- Querying structured financial/operational datasets
- Generating scenario commentary
- Producing executive-ready insights
- Implement retrieval-augmented generation (RAG) architectures
- Integrate (speech to speech, text to speech, speech to text) AI agents into reporting workflows and business processes
- Prompt Engineering & LLM Optimization
- Develop structured prompt frameworks for transformation of analytics use cases
- Create reusable prompt templates for financial analysis and scenario modeling
- Control hallucination risks using validation layers and tool-based calculations
- Optimize model usage for cost, latency, and reliability
- Analytics & Modeling Support
- Collaborate with stakeholders to convert business problems into analytical solutions
- Applying data science, machine learning, and statistical techniques to enhance modeling, scenario simulations, and value forecasting
- Ensuring outputs are transformation-ready and decision-relevant
- Cross-Functional Collaboration
- Partner with finance, transformation, and analytics stakeholders
- Support adoption and training for automation and AI solutions
Required Qualifications
- 4- 8 years of experience in finance, analytics, automation, or applied AI
- Strong Python programming skills (pandas, APIs, data processing)
- Hands-on experience with Lang Chain or similar agent frameworks
- Experience building AI agents or LLM-powered applications
- Experience with workflow automation tools such as n8n
- Working knowledge of GenAI tools (e.g., OpenAI / ChatGPT APIs)
- Strong prompt engineering capabilities
- Experience handling structured financial or operational datasets
- Solid understanding of transformation analytics or performance measurement frameworks
- Strong communication and stakeholder collaboration skills
Technical Skill Requirements
Core:
- Python
- SQL
- Lang Chain (or equivalent agent frameworks)
- n8n (or similar orchestration tools)
- OpenAI / GenAI API integrations
- Prompt engineering
Preferred:
- Vector databases (FAISS, Pinecone, etc.)
- Power BI or Tableau
- Databricks or cloud-based data platforms
- Experience with scenario modeling frameworks
- Experience working in finance or transformation environments
Education/ Prior Employment Qualifications:
- Master's degree in data science or AI or Machine learning or finance or related fields & 3 years of Automation & AI development experience
- Bachelor's degree in finance, computer science or information technology or information systems or related fields & 4 + years of Automation & AI development experience
- Diploma in finance, technology or related fields and 4 to 5 years of Automation & AI development experience
