Client : A fast growing data-science company, serving clients across industries and geographies.

Position : Senior Analyst / Associate Credit Risk Agentic AI
Relevant Experience : 2y to 5y
Location : Bengaluru
Work Mode : In Office only
Joining : I mmediate to 30 days
CTC Offered: To discuss

Role Overview
A forward-thinking Quantitative Analyst with 2 to 5 years of experience to bridge the gap between traditional credit risk modeling and the next generation of autonomous AI. This role is designed for a specialist who understands the rigors of traditional decision scorecard building and/or regulatory modeling (IFRS 9, Basel III, or Stress Testing) but is also actively building Agentic AI frameworks to automate and enhance these processes. You will play a pivotal role in moving beyond static models toward "agentic" systems that can autonomously monitor, report, and suggest calibrations for risk frameworks.

Responsibilities
a) Model Development Enhancement: Lead and support the end-to-end development / validation of credit risk models (PD, LGD, EAD) and stress testing frameworks.
b) Agentic AI Integration: Design and deploy AI Agents to handle complex tasks such as automated model monitoring, document extraction for credit underwritings, or real-time risk signal detection.
c) Process Automation:



Transition manual analytics workflows into LLM powered agentic workflows to increase throughput and accuracy.
d) Technical Leadership: Guide junior interns and analysts on best practices for Python-based modeling and SQL-driven data architecture.
e) Stakeholder Communication: Translate complex quantitative findings into actionable insights for senior risk committees

Requirements

a) Experience: 2 5 years of hands-on experience in Credit Risk Modeling or analytics-heavy risk projects.

b) AI Expertise: Demonstrated experience with Proof of Concepts (POCs) or live implementations of Agentic AI (e.g., using frameworks like LangGraph, CrewAI, or AutoGen) specifically for banking or finance.

c) Academic Background: Advanced degree in a quantitative field (Statistics, Economics, Math, or Engineering) from a premier institution (Tier1/Tier2).

d) Advanced Tech Stack: Expert-level Python (Pandas, Scikit-learn, and LLM orchestration libraries). Solid SQL skills for managing complex financial datasets.

e) Certifications (Preferred): Completion of FRM or CFA is highly desirable.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Analyst/Associate - Credit Risk & Agentic AI (Bengaluru)
🏢 Hexaconcepts
📍 Bengaluru