Anirudh G

Associate Consultant

Gurugram, Haryana, India5 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Managed ₹2,600 Cr Personal Loan portfolio.
  • Implemented strategies increasing approval rates from 1.5% to 5%.
  • Designed automated data pipelines reducing processing time to 1 hour.
Stackforce AI infers this person is a Fintech professional with strong expertise in credit risk and data analytics.

Contact

Skills

Core Skills

Credit Risk ManagementConsumer LendingData AnalysisData EngineeringMachine Learning

Other Skills

Amazon Web Services (AWS)Data ScienceData VisualizationNatural Language Processing (NLP)Power BIPython (Programming Language)Risk MeasurementSQLStatistical Modeling

About

4+ years of experience in Credit Risk & Advanced Analytics, specializing in unsecured lending.Hands-on expertise in risk strategy, portfolio management and data-driven decisioning in a high-growth Indian NBFC.Currently managing Risk for a ₹2,600 Cr ($285M) Personal Loan portfolio at Stashfin.

Experience

Stashfin

3 roles

Senior Risk Analyst

Apr 2025Present · 11 mos · Gurugram, Haryana, India · On-site

  • 1. Managing a team of 3 analysts to support acquisition, risk strategy, and marketing communications -
  • delivering overall funnel analytics.
  • 2. Implemented pre-qualification [PQL] programs for key partnerships - increasing approval rate from 1.5% to 5% while reducing the entry rate from 16% to 12%.
Credit Risk ManagementConsumer Lending

Senior Risk Analyst

Promoted

Mar 2022Present · 4 yrs · Gurugram, Haryana, India · On-site

Credit Risk ManagementData Science

Data Analyst

Mar 2022Mar 2025 · 3 yrs · Gurugram, Haryana, India · On-site

  • 1. Collaborated with Risk, Treasury and Finance to design an automated pipeline for loan-level data
  • reducing the TAT of processing to 1hr, earning the Team Player of the Year award.
  • 2. Built risk dashboards in Power BI to holistically track delinquency, portfolio composition, GCL, recovery,
  • revenue by cohort and entry rates by product/channel.
Python (Programming Language)SQLData AnalysisData Engineering

Mu sigma inc.

Data Scientist

Sep 2020Feb 2022 · 1 yr 5 mos · Bangalore, Karnataka, India · On-site

  • Advanced Analytics Team
  • 1. Document Classification Pipeline: Developed and deployed an end-to-end automation pipeline for a document classification model, replacing manual processes. Emphasized model interpretability using SHAP for business stakeholders.
  • 2. Insurance Fraud Risk Scoring (PoC): Built a prototype classifier to assess the likelihood of insurance fraud, leveraging a combination of third-party data sources.
Machine LearningPython (Programming Language)

Education

PES University

Bachelor of Technology - BTech — Computer Science

Jan 2016Jan 2020

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