Career Category

Finance

Job Description 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 Responsibilities1.

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

2.

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

3.

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

4.

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

5. 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 / Gen

AI 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

.