Summary
Overview
Work History
Education
Skills
Certification
Personal Information
Timeline
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Akshita Chugh

Akshita Chugh

Delhi

Summary

Dynamic analytics professional with a proven track record at BlackRock, specializing in risk analytics and predictive modeling. Expert in Python and SQL, I have successfully developed scalable solutions that enhanced decision-making and improved portfolio performance. Adept at collaborating with cross-functional teams, I leverage critical thinking to drive impactful business strategies.

Overview

1
1
Certification
8
8
years of professional experience

Work History

Associate

BlackRock
Gurugram
07.2023 - Current
  • Built scalable portfolio analytics products using Python, SQL, and data visualization frameworks, providing actionable insights from complex risk and investment data for enhanced decision-making.
  • Designed and developed Fixed Income Investment Risk analytics solutions supporting portfolio managers, investment risk teams, and business stakeholders across global fixed income portfolios.
  • Developed performance attribution analytics to evaluate portfolio return drivers across sectors, issuers, duration, and other characteristics, facilitating deeper insights into investment performance.
  • Built Trade Impact Attribution Analytics to decompose portfolio performance into Market Impact, Trade Impact, and Benchmark Rebalancing components, helping investment teams assess trading decisions and portfolio changes.
  • Designed risk monitoring frameworks and analytical scans to identify Issuer Concentration Risk and potential portfolio exposure risks.
  • Created AI-powered fixed income research assistant utilizing generative AI, LLMs, RAG architecture, and semantic search, streamlining document discovery and generating citation-backed investment research summaries.
  • Built configurable Python-based analytics frameworks to automate dashboard generation and enable reusable analytical solutions across multiple investment products, improving scalability and reducing manual effort.
  • Partnered with portfolio managers, risk teams, and technology stakeholders to translate investment requirements into scalable analytical solutions and enhance decision-making capabilities.
  • BlackRock - Analytics & Fixed Income Investment Risk Professional

Senior Consultant

EXL
Gurugram
06.2022 - 07.2023
  • Determined optimal Application Score cutoffs for credit card portfolios across multiple business segments by analyzing borrower risk characteristics, improving approval rates by 8% while maintaining a loss-neutral risk profile.
  • Evaluated application score model performance using key statistical metrics including Kolmogorov-Smirnov (KS) statistic, Population Stability Index (PSI), and Gini coefficient, enhancing model discrimination, stability, and predictive effectiveness.
  • Applied predictive modeling and segmentation techniques to design data-driven lending strategies for credit card portfolios, aligning growth opportunities with risk management objectives.
  • Developed customer revenue segmentation strategies using Decision Tree Models by leveraging historical internal ('on-us') customer behavior and bureau attributes, enabling targeted credit strategies and improving eligibility rates by 4X during partial strategy rollout.
  • Authored white paper on estimating risk and revenue benchmarks for lending portfolios, delivering analytical frameworks that optimized credit decisioning and increased portfolio profitability.
  • Credit Risk Strategy & Predictive Modeling Experience

Consultant

EXL
Gurugram
12.2020 - 06.2022
  • Leveraged P&L analytics and advanced data analysis to develop and optimize credit risk strategies, balancing portfolio growth, profitability, and risk exposure.
  • Developed acquisition strategy frameworks focused on acquiring high-quality, profitable credit card customers by optimizing the balance between customer quality, profitability, application volumes, and approval rates.
  • Developed analytical frameworks determining STIP (Single Transaction Limit) thresholds across payment networks, enhancing risk controls and supporting customer transaction needs.
  • Designed customer behavior and performance-based trigger measurement frameworks for cross-sell campaigns, enabling targeted marketing strategies and enhancing campaign effectiveness.
  • Built risk-reward trade-off frameworks to evaluate and recommend rollback of COVID-era credit tightening measures, facilitating controlled portfolio expansion and maintaining risk discipline.
  • Partnered with business, risk, and analytics teams to translate complex data insights into actionable credit strategies and customer lifecycle optimization initiatives.
  • Worked as a Data Analyst in the Consumer Lending domain across APAC markets, delivering data-driven solutions for credit risk strategy, portfolio optimization, and customer acquisition.

Associate Data Analyst and Consultant

Wells Fargo
Bangalore
07.2019 - 12.2020
  • Forecasted key credit card revenue drivers and delivered data-driven insights to support strategic business decisions and portfolio growth.
  • Developed analytical frameworks to forecast revenue components including customer acquisition, spend behavior, revolving balances, interchange income, interest income, and portfolio profitability, enabling effective financial planning and performance tracking.
  • Built and implemented predictive models for customer acquisition strategies by leveraging customer demographics, credit bureau attributes, behavioral data, and historical portfolio performance to identify high-value customer segments.
  • Evaluated financial impact of acquisition and credit strategies by quantifying incremental revenue, profitability, approval rate changes, and portfolio risk implications through scenario analysis and business case modeling, informing strategic decisions.
  • Conducted dollar-impact analysis to measure effectiveness of strategic initiatives, enabling business stakeholders to prioritize initiatives based on revenue potential and risk-adjusted returns.
  • Partnered with cross-functional teams including Finance, Risk, Marketing, and Product to translate analytical insights into actionable strategies for customer acquisition, portfolio optimization, and revenue growth, enhancing collaborative efforts.
  • Applied advanced analytics, statistical modeling, and data visualization techniques to improve forecasting accuracy and enable proactive decision-making for the credit card business.

Data Analyst

Wells Fargo
Bangalore
05.2018 - 07.2018
  • Analyzed financial impact of marketing campaigns for Wells Fargo's Personal Loan and Lines Group using SAS Enterprise Guide and Microsoft Excel, informing strategic decision-making.
  • Leveraged statistical analysis and customer-level data to assess campaign ROI, optimize targeting strategies, and support future marketing initiatives.
  • Evaluated campaign performance by analyzing key metrics such as customer response rates, conversion trends, incremental revenue impact, and campaign profitability.
  • Conducted data analysis to assess effectiveness of marketing strategies, identifying opportunities for enhancing customer acquisition and supporting portfolio growth.
  • Built analytical reports and dashboards to summarize campaign outcomes, providing actionable insights to business stakeholders for data-driven decision-making.

Education

Master's degree - Economics

Centre for Economic Studies and Planning (CESP), Jawaharlal Nehru University
01-2019

Bachelor of Arts - BA - Economics

Ramjas College, University of Delhi
01-2017

High School - Nonmedical with Economics

Adarsh Public School,vikas Puri, New Delhi
01-2014

Skills

  • Python programming and SQL querying
  • Data visualization and predictive modeling
  • Risk analysis and segmentation
  • Portfolio performance evaluation
  • Statistical and financial analysis
  • Project management and collaboration
  • Problem solving and critical thinking
  • Communication strategies and techniques
  • Artificial intelligence expertise

Certification

Excel: Tips and Tricks

Personal Information

Title: AI and Analytics professional

Timeline

Associate

BlackRock
07.2023 - Current

Senior Consultant

EXL
06.2022 - 07.2023

Consultant

EXL
12.2020 - 06.2022

Associate Data Analyst and Consultant

Wells Fargo
07.2019 - 12.2020

Data Analyst

Wells Fargo
05.2018 - 07.2018

Master's degree - Economics

Centre for Economic Studies and Planning (CESP), Jawaharlal Nehru University

Bachelor of Arts - BA - Economics

Ramjas College, University of Delhi

High School - Nonmedical with Economics

Adarsh Public School,vikas Puri, New Delhi
Akshita Chugh