Kunaal Ahuja

CEO

New York, New York, United States11 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Co-led a 16-member quantitative strategy team.
  • Developed automated trading models for fixed income.
  • Achieved 4.0 GPA in Master's program.
Stackforce AI infers this person is a Fintech expert with strong quantitative strategy and data science capabilities.

Contact

Skills

Core Skills

Quantitative StrategyPortfolio ManagementData ScienceData Engineering

Other Skills

AWSAlgorithmsArtificial Intelligence (AI)Automated TradingC++Cloud ComputingCore JavaData AnalysisData AnalyticsData Platform DevelopmentData StructuresData VisualizationDatabase ManagementDatabasesDeep Learning

About

Currently, I work as a Vice President and Quantitative Strategist in the External Investing Group (XIG) Strategist team at Goldman Sachs. I co-lead the Private Markets Quant and AI Strats team, focusing on building a scalable and robust data-driven investing framework, portfolio construction, and risk management platform. Previously, I was part of the Fixed Income Strategists team within the Asset Management Division. My responsibilities included developing an automated trading engine platform and creating portfolio construction tools for multi-billion-dollar portfolios. I hold a Master of Science in Analytics from Georgia Tech, where I completed all three tracks: Analytical Statistics, Computational Data, and Business Analytics. I achieved the distinction of being the second person in the program’s history to do so. I have an undergraduate degree in Bachelor of Engineering (B.E.) focused in Information Technology from Netaji Subhas Institute of Technology, New Delhi. During my master’s program, I interned at Cypress.io as a Data Scientist Intern during the summer of 2020. My work involved building machine learning algorithms to expand the firm’s customer base, resulting in a significant increase in revenue. Additionally, I developed a cloud-based data science platform for efficient execution of ML models. Before pursuing my master’s degree, I spent five years as a Quantitative Strategist in the Fixed Income Strategist team at Goldman Sachs. My focus was on portfolio analytics, modeling, and global projects related to systematic strategies, statistical time-series models, business cycle forecasting, quantitative data mining, and risk models. I also contributed to designing and developing the data platform and big data solutions for the division.

Experience

Goldman sachs

Vice President

Feb 2021Present · 5 yrs 1 mo · New York City Metropolitan Area

  • Vice President, External Investing Group (XIG)
  • Private Markets Strats, Goldman Sachs
  • Oct'21 - Present
  • Global Co-head of Private Markets Quant and AI Strats team - 16 people globally
  • Led and grew the XIG Strats team locally in Salt Lake City office between 2021-2024
  • Working to develop scalable and robust portfolio construction, manager selection and risk management platform in the domain of Long Only, Private Equity and Hedge Funds asset class
  • Vice President, Fixed Income Strategist, Goldman Sachs Asset Management
  • Feb'21 - Oct'21
  • Built an automated trading execution model to trade fixed income securities through various brokers incorporating ML models involving liquidity datasets
  • Worked to built an efficient statistical non linear optimizer for a scalable portfolio constructor, managing over 10K accounts in the credit team within Fixed Income desk
Data StructuresAlgorithmsData ScienceData AnalysisMachine LearningPortfolio Construction+3

Cypress.io

Data Science Intern

May 2020Aug 2020 · 3 mos

  • Designed and developed the data science platform and built prediction models for the subscription of the new clients and churn and upgrades of the existing clients leading to a 7% MOM increase in subscriptions and reduced churn rate to 1%
  • Built the data analytics infrastructure to deploy machine learning models, version control infrastructure in the data model, and run the data science jobs on the AWS cloud infrastructure
  • Refined the pricing financial model for the optimized pricing plans for the product and worked on the KPI sales funnel to identify key segments to capture market share
  • Designed the data science tools like -A/B testing significance calculator, size calculator and reporting tools for the VC, board members, and management
Machine LearningData AnalyticsCloud ComputingAWSData Science

Georgia institute of technology

Graduate Teaching Assistant

Aug 2019Jan 2022 · 2 yrs 5 mos · Greater Atlanta Area

  • Instructional Associate for Spring'21, Summer'21, and Fall'21
  • Teaching Assistant for Fall'19, Spring'20, and Fall'20,
  • Designed and conceptualized exam questions, led office hours, and assisted students through online forums for Georgia Tech's graduate-level CSE 6040 Computing for Data Analysis course.
  • Awarded ‘Thank a Teacher’ award for Fall'19 and Fall'20.
Automated TradingMachine LearningPortfolio ConstructionStatistical AnalysisQuantitative StrategyPortfolio Management

Goldman sachs

2 roles

Associate

Jan 2018Aug 2019 · 1 yr 7 mos

  • Fixed Income Strategist, Investment Management Division
  • Researched and implemented quantitative macro and govt/swap trading strategies across multiple asset classes
  • Created and improved risk management and performance monitoring tools for portfolio managers and traders
  • Built business cycle forecasting indicator reports
Quantitative AnalysisRisk ManagementPerformance MonitoringQuantitative Strategy

Quantitative Analyst

Jun 2014Dec 2017 · 3 yrs 6 mos

  • Data Platform, Investment Management Team
  • Helped design and develop the data stack for the division, involving storage, transformation and serving layer.
  • Helped develop database agnostic high level language that compiled to DB specific SQL.
  • Deployed and managed distributed in-memory MemSQL, Sybase IQ, Hive RDBMS and Elastic Search clusters
Data Platform DevelopmentDatabase ManagementSQLData Engineering

Delhi metro rail corporation ltd

Software Engineer Intern

Jun 2013Jul 2013 · 1 mo · New Delhi

  • Developed Document Management System for major departments at DMRC.
Document ManagementSoftware Development

Cris; a autonomous society under the ministry of indian railways

2 roles

Software Engineer Intern

Jan 2013Feb 2013 · 1 mo · New Delhi

  • Developed Web enabled Coaching Refund System.
Web Development

Software Engineer Intern

Jun 2012Jul 2012 · 1 mo · New Delhi Area, India

  • Developed web enabled Coaching Refund System
Web Development

Education

Georgia Institute of Technology

Master of Science - MS — Analytics

Jan 2019Jan 2020

Netaji Subhas Institute of Technology

Bachelor of Engineering (B.E.) — Information Technology

Jan 2010Jan 2014

The Army Public School, Dhaula Kuan, New Delhi

High School — Mathematics and Computer Science

Jan 1998Jan 2010

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