---
title: "Monu Singh - Staff Data scientist in Bengaluru | Tal"
description: "Meet Monu Singh, Manager, Data Science | Financial Services | Python, ML, GenAI & Causal Inference based in Bengaluru. AI stack includes anthropic apis, hugging face, and langchain."
image: "https://tal.club/meet/monu-singh/share-image"
---

# Monu Singh on Tal

## Headline

Manager, Data Science \| Financial Services \| Python, ML, GenAI &amp; Causal Inference

## About

Manager, Data Science with 10 years of experience in financial services and consulting, focused on fraud &amp; trust domains\. As a hands\-on player\-coach, I architect solutions, write production code, review solution design, and set department\-wide data science standards while driving stakeholder adoption and trust\. I provide technical leadership, mentoring, and coaching to a pod of 4\+ data scientists, building technical depth and driving measurable outcomes\. I own the full lifecycle from exploratory analysis and experimental design \(hypothesis framing, A/B testing, shadow testing\) through production deployment, across imbalanced datasets, behavioural networks, and propensity models\. Most of the data science solutions are primarily built in Python using Scikit\-Learn and tree\-based ensembles \(Random Forest, XGBoost\), extended with graph analytics for network behaviour and GenAI/NLP \(RAG, LLM workflows\) for unstructured signals\.

## Location

Bengaluru

## AI stack

anthropic apis

hugging face

langchain

langgraph

## Work experience

Staff Data scientist at Standard Chartered, Aug 2024 \- Present · 2 y 2 mo, Bengaluru, Karnataka, India, \- Hands\-on data science lead driving cross\-portfolio \(xPA\) initiatives, mentoring a pod of 4, and shaping department\-wide data science standards\. —— \- Architecting a RAG framework with advanced semantic chunking, optimised vector retrieval, and dual\-layer deterministic/semantic guardrails, cutting manual multi\-document review time\. \- Shadow\-testing an XGBoost early\-alert risk engine as 3rd LoD against first\-line business rules, surfacing \~10% more high\-exposure exceptions\. \- Replacing quarterly manual theme reviews with an automated batch risk\-scoring engine \(LLM\-extracted features \+ tree\-based models\), compressing detection cycles from quarterly to daily with \~10% higher precision\. ——

Senior Data Scientist at Standard Chartered, Dec 2020 \- Jul 2024 · 3 yrs 8 mos, Bengaluru, Karnataka, India, \- Uncovered 12% more hidden fraud patterns while maintaining stable false\-positive rates by building NetworkX topology features and training an XGBoost model to generate high\-risk alerts\. \- Designed and developed client propensity models \(Random Forest/LightGBM\), confirming a 10% simulated adoption lift for digital nudges via prioritized\-targeting backtesting\. \- Scaled Python based analytics workflows to PySpark across global portfolio of trade and cash clients, cutting data preparation overhead by 60% to drastically accelerate batch execution cycles for proactive risk, fraud and propensity scoring engines\.

Data Scientist at HSBC, Jul 2019 \- Nov 2020 · 1 yr 5 mos, Greater Bengaluru Area, \- To help RMs prioritize outreach to high\-value wholesale clients across Middle East &amp; South East Asia, built K\-Means clustering combined with ensemble propensity models \(Random Forest, LightGBM\) to segment and score client potential\. \- With fragmented client profiles blocking cross\-sell visibility across Middle East &amp; South East Asia markets, developed an NLP entity resolution framework \(TF\-IDF, string\-distance, regex, cosine similarity\), achieving 95% identity\-matching accuracy and unlocking 15% more cross\-sell opportunities\.

Analyst \- Business Intelligence at Accenture, Sep 2014 \- Jul 2017 · 2 yrs 11 mos, Gurugram, Haryana, India, \- Conducted exploratory data analysis \(EDA\) to design semantic layers, writing optimised SQL scripts that eliminated data delivery bottlenecks to enable self\-service business unit analytics\. \- Designed and automated interactive BI dashboards for core financial and operational metrics, streamlining executive reporting workflows and reducing manual data compilation overhead\.

## Education

Master of Business Administration, Business Administration and Management, General, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

B\.Tech, Electronics and Communications Engineering, Jaypee University of Engineering and Technology

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

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/monu-singh#person",
      "name": "Monu Singh",
      "url": "https://tal.club/meet/monu-singh",
      "image": "https://tal.club/meet/monu-singh/profile-photo.jpg",
      "description": "Meet Monu Singh, Manager, Data Science | Financial Services | Python, ML, GenAI & Causal Inference based in Bengaluru. AI stack includes anthropic apis, hugging face, and langchain.",
      "jobTitle": "Staff Data scientist",
      "worksFor": {
        "@type": "Organization",
        "name": "Standard Chartered"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Staff Data scientist"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Bengaluru"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "INDIAN INSTITUTE OF TECHNOLOGY KANPUR"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Jaypee University of Engineering and Technology"
        }
      ],
      "knowsAbout": [
        "anthropic apis",
        "hugging face",
        "langchain",
        "langgraph"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/monu-singh#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/monu-singh#webpage",
      "url": "https://tal.club/meet/monu-singh",
      "name": "Monu Singh on Tal",
      "description": "Meet Monu Singh, Manager, Data Science | Financial Services | Python, ML, GenAI & Causal Inference based in Bengaluru. AI stack includes anthropic apis, hugging face, and langchain.",
      "dateModified": "2026-09-08T08:26:05.608Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/monu-singh#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/monu-singh/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/monu-singh/profile-photo.jpg",
        "caption": "Monu Singh profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```
