---
title: "Yagya Mohan - Analyst in Bengaluru | Tal"
description: "Meet Yagya Mohan, Traded Risk Analyst (Ex-HSBC) | Python-Based Risk Reporting Automation | KRI, MTM & Wrong-Way Risk Reporting | SQL, Power BI, Data Analytics based in Bengaluru. AI stack includes claude code, claude, and gemini. Explore public work links including github."
image: "https://tal.club/meet/yagya-mohan/share-image"
---

# Yagya Mohan on Tal

## Headline

Traded Risk Analyst \(Ex\-HSBC\) \| Python\-Based Risk Reporting Automation \| KRI, MTM & Wrong\-Way Risk Reporting \| SQL, Power BI, Data Analytics

## About

Traded Risk Analyst with hands\-on experience automating risk and regulatory reporting at HSBC, backed by a strong quantitative foundation from my B\.Tech in Information Technology \(CGPA 8\.89\)\. At HSBC, I built Python automation for daily financial adjustment calculations across India and Thailand books, deployed to production\. I also built an Excel\-to\-Word reporting pipeline covering 6 regions plus a global aggregated pack, turning raw data into structured reports to support regional risk review\. Beyond that, I automated Wrong\-Way Risk and Mark\-to\-Market exposure reporting for regulatory review, and developed an API integration with the CDCP platform to remove manual data retrieval\. Beyond risk reporting, I work across SQL, Excel, and Power BI for data analysis and visualization, and I'm currently building a GenAI\-based compliance tool using Python, LangChain, and the Gemini API to flag policy gaps against regulatory documents like RBI and Basel guidelines, with source citations and a hallucination guardrail\. My background spans risk analytics, regulatory reporting, and process automation, shaped by internships across banking \(HSBC\), infrastructure \(CRIS\), and government compliance \(GSTN\)\. I care about turning manual, error\-prone processes into reliable, automated systems, and about using data to support better risk decisions\. I'm looking for full\-time analyst roles in risk analytics, data analytics, or regulatory reporting, in Bengaluru, at organizations where I can keep building on this foundation\. Open to connecting with anyone hiring or working in this space\.

## Location

Bengaluru

## AI stack

claude code

claude

gemini

perplexity

claudecode

ChatGPT

## Work experience

Analyst at HSBC, Feb 2026 \- Aug 2026 · 7 mos, Bengaluru, Karnataka, India, Strengthened first\-line\-of\-defense controls by reconciling access across 4 systems for \~438 Traded Risk users, flagging \~70 out\-of\-department and \~10 unverified users per system as control issues Automated financial adjustment calculations in Python across 2 book keys \(India/Thailand\), eliminating \~4 hrs/day and \~2 hrs/week of manual effort and accelerating Asia\-region risk reporting Built an Excel\-to\-Word KRI reporting pipeline across 6 regions plus 1 global pack, replacing 10–15 hours of manual effort per regional report for senior risk review Detected and root\-caused an FX rate source mismatch via cross\-validation against a second data source, escalating and correcting inflated risk values before reporting

Intern at IRIS Business Services Limited, Jun 2025 \- Jul 2025 · 2 mos, Remote, Root\-caused and resolved integration failures in an event\-driven Kafka CDC pipeline \(Debezium, MongoDB, MinIO\), tracing the fault to an incorrect connector image

Data Analyst at CRIS \(Centre for Railway Information Systems\), May 2025 \- May 2025 · 1 mo, Delhi, Predicted railway infrastructure failure thresholds using regression analysis \(R\-squared 0\.936, MAE 0\.195\), supporting proactive maintenance planning Applied statistical modeling to real\-world degradation data, translating technical output into a maintenance\-planning recommendation

Secretary at Terra VIT District 120 Toastmasters \(Tamilnadu, India\), Jul 2024 \- Dec 2024 · 5 mo, Vellore

Data Analyst at GSTN \(Goods and Services Tax Network\), May 2024 \- Jul 2024 · 2 mo, Delhi, Built and cross\-validated a Random Forest fraud\-detection model on GST compliance data, reaching 0\.98 accuracy, 0\.84 precision, and 0\.94 recall, outperforming a logistic regression baseline Presented fraud\-risk findings to stakeholders through a written report and deck, translating model output into actionable compliance recommendations

## Education

Bachelor of Technology \- BTech, Information Technology, Vellore Institute of Technology

Delhi Public School Ghaziabad

## Public links

- github: https://github\.com/YagyaMohan

[View the original profile](https://tal.club/meet/yagya-mohan)

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