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 Responsibilities
1. 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 / 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, t
echnology
or related fields
and
4
to
5
years
of Automation & AI
development experience
.
