Jaya Maheswari

Associate Consultant

New York, New York, United States2 yrs 3 mos experience

Key Highlights

  • Strong foundation in quantitative finance and analytics.
  • Experience with major financial institutions and investment firms.
  • Proficient in Python and analytical modeling techniques.
Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and investment skills.

Contact

LinkedIn

Skills

Core Skills

InvestmentsVenture CapitalAnalytical SkillsPython (programming Language)Option Pricing ModelsVolatilityMortgage IndustryResearch Writing

Other Skills

Arduino IDEC++Cascading Style Sheets (CSS)CommunicationCompetitive ProgrammingComputingData ScienceEXCELEngineeringFixed Income StrategiesHTMLKaldiKerasLINUXMachine Learning

About

Uchicago MS FinMath 2025 | Goldman Sachs jaya1@uchicago.edu

Experience

Boyd watterson asset management

Quantitative Research Intern

Aug 2025 – Sep 2025 · 1 mo · Cleveland, Ohio, United States · Remote

Jpmorganchase

QR Markets Intern

Jun 2025 – Aug 2025 · 2 mos · New York, New York, United States · On-site

  • ABS Origination - Structured Products

Virtus investment partners

Quantitative Researcher – University of Chicago Project Lab 

Mar 2025 – May 2025 · 2 mos

7 chord inc

Quantitative Researcher – University of Chicago Project Lab

Jan 2025 – Mar 2025 · 2 mos · New York, New York, United States

Rtp global

Investment Intern

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India

  • RTP Global is an early-stage investor with an AUM of $4.5B globally, specializing in providing investments ranging from $1-10M cheques in tech & tech-enabled businesses.
  • Notable investments: Datadog, Yandex, DeliveryHero, CRED, MPL, and DeHaat.
InvestmentsVenture CapitalPortfolio ManagementCommunication

Goldman sachs

Analyst - Quantitative Strats

Jun 2022 – May 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

  • FICC Mortgage Trading Strats part of Global Banking and Markets Division - FICC
  • Developed pricing and risk models for Mortgage-Backed Securities (MBS), loans, and derivatives
  • Collaborated with Trading Analyst & Technology teams to implement & optimize quantitative model
Analytical SkillsPython (Programming Language)Problem SolvingC++SlangResidential Mortgages+1

Indian institute of management ahmedabad

Research Assistant

Jan 2022 – May 2022 · 4 mos · Ahmedabad, Gujarat, India

  • Options Trading and Volatility
  • Modeled daily VXO, VIX & realized volatility using the Chicago Board Options Exchange (CBOE) methodology
  • Applied GARCH and EGARCH volatility models using the minute-wise summary of Nifty options and futures
Option Pricing ModelsVolatility

Goldman sachs

Summer Analyst

Jun 2021 – Jul 2021 · 1 mo · Bengaluru, Karnataka, India

  • FICC Mortgage Trading Strats part of Global Markets Division ( Received Pre-Placement Offer )
  • Analyzed the effect of the Unemployment Rate on Delinquency for Consumer Loans and the House Price Index (HPI)
  • Plotted cross-correlation among variables and studied their maxima, minima, and leading & lagging behavior
Mortgage Industry

Credgenics

Technology Intern

Dec 2020 – Mar 2021 · 3 mos · Delhi, India

  • Backed by Accel Partners and Titan Capital
  • Project I - Debt Recovery Prediction
  • Project II - API Integration
  • Analyzed the effect of EMI amount, loan tenure, total claim amount, and FICO on Debt Recovery prediction
  • Implemented Logistic Regression from sklearn & stats models and confusion matrix for feature extraction
Python (Programming Language)

Indian oil corporation limited

Chemical Engineering Intern

Jun 2020 – Jul 2020 · 1 mo · Bongaigaon, Assam, India

The moonshot (whooping crane ventures pvt. ltd.)

Intern

Apr 2020 – Jul 2020 · 3 mos · India

  • Designed and deployed an AI model using Flask which could check students answer & assign an appropriate score

Indian institute of technology, kanpur

2 roles

Undergraduate Research Assistant

Jan 2020 – Jun 2020 · 5 mos · Kanpur Area, India

  • Predict the viscosity of molecules by using different mathematical models
  • Used Linear, Ridge, Random Forest, and Xgboost mathematical models for prediction of viscosity in Polymers 3330S

Undergraduate Research Assistant

May 2019 – Jul 2019 · 2 mos · Kanpur Area, India

  • Estimate Yield Stress of Bingham Plastic Fluid in a convenient and economical way
Python (Programming Language)Research Writing

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology - BTech — Chemical and Electrical Engineering

Jul 2017 – Dec 2021

University of Chicago

Master of Science - MS — Financial Mathematics

Aug 2024 – Dec 2025

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