Niranjan Jahagirdar

Product Engineer

New York, New York, United States2 yrs 2 mos experience
Most Likely To Switch

Key Highlights

  • Expert in quantitative finance and programming.
  • Presented research at the University of Oxford.
  • Experience across top financial institutions.
Stackforce AI infers this person is a Quantitative Finance expert with a strong programming background in the financial services industry.

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Skills

Core Skills

Quantitative FinanceProgrammingQuantitative ResearchPortfolio ManagementInvestment StrategiesMacroeconomicsEconometrics

Other Skills

Algorithm DevelopmentAlpha generationC++Capital and Balance Sheet OptimizationComputer ProgrammingEquity ValuationFinancial MarketsFixed Income InvestingFixed Income TradingFixed-Income InvestingForecastingFundamental AnalysisFundingGlobal MacroGreeks

About

Hi! I graduated from the Master of Financial Engineering program at UC Berkeley. Prior to this, I graduated with a double major in computer science and economics from BITS Pilani. I have also passed the FRM Part 1 examination. I previously worked as a Quantitative Strategist at Morgan Stanley. My work primarily involved analysing data to create strategies focused on Asia FX and Rates. I also undertook projects covering US Rates and MBS. Previously I have worked in JP Morgan's Quantitative Research division where I leveraged my programming and machine learning skills to optimize their securities services. I have experience in research organizations, private equity firms and software companies in roles requiring a combination of finance, statistics, data science and programming. I presented my research on market liquidity and oil price shocks during financial crises at the University of Oxford in 2022. Outside work, I served as the global Chief Financial Officer of a social consulting organization, helping to tackle financial and legal challenges to scale our impact all over the world! (To know more go to https://www.180dc.org/). I am interested in quantitative research and trading roles. You can contact me at jahagirdarniranjan@gmail.com/niranjan_jahagirdar@berkeley.edu Technical toolkit: Python q KDB+ Scala Java C++ NumPy Pandas Scikit-learn SQL Bloomberg Terminal

Experience

Morgan stanley

2 roles

Quantitative Desk Strategist

May 2025Present · 10 mos · New York, United States · On-site

  • Capital and Balance Sheet Optimization
  • Repo Trading
  • Funding
  • Margin and Collateral Optimization
  • Liquidity Management
  • Prime Brokerage
  • RWA Optimization
  • q/kdb+, Scala, Python
Capital and Balance Sheet OptimizationRepo TradingFundingMargin and Collateral OptimizationLiquidity ManagementPrime Brokerage+6

Quantitative Finance Fall Associate

Oct 2024Jan 2025 · 3 mos · New York, United States

  • Repo Trading
  • Funding
  • Margin and Collateral Optimization
  • Liquidity Management
  • Prime Brokerage
  • RWA Optimization
  • q/kdb+, Scala, Python
Repo TradingFundingMargin and Collateral OptimizationLiquidity ManagementPrime BrokerageRWA Optimization+8

Worldquant

Quantitative Research Intern - Intraday Trading

Jul 2024Sep 2024 · 2 mos

  • Intraday US equities trading
  • Forecasting and alpha generation
Intraday US equities tradingForecastingAlpha generationProgrammingTime Series AnalysisPython (Programming Language)+2

University of california, berkeley, haas school of business

Teaching Assistant

May 2024Jun 2024 · 1 mo · On-site

  • UGBA 133 - Investments
  • Under Prof. Ethan Namvar
Fixed Income TradingPortfolio ManagementEquity ValuationPython (Programming Language)Investment StrategiesTrading Strategies

Morgan stanley

2 roles

Quantitative Researcher - Macro (EM FX and Rates)

May 2023Feb 2024 · 9 mos

  • Fixed Income Division: Global Macro
  • Asia FX
  • Asia Rates
  • Publishing macro research, building tools for yield curve analysis, quantitative research, relative value strategies
MacroeconomicsGlobal MacroFixed-Income InvestingProgrammingFixed Income TradingTime Series Analysis+6

Fixed Income Quant Intern

Jul 2022Jan 2023 · 6 mos

  • Agency MBS
  • US Rates
  • Offered a full time role (PPO)
MacroeconomicsGlobal MacroProgrammingTime Series AnalysisSQLPython (Programming Language)+2

J.p. morgan

Quantitative Research Intern

Aug 2021Jun 2022 · 10 mos

  • QR Securities Services
  • Automated the analysis of securities' inventory of USD 1.5 tn+ and the mapping of inventory to client demand; agency prime brokerage
  • Built 2 widgets for 3 teams to identify shortcomings in the securities inventory and to select lenders to onboard
  • Created an unsupervised anomaly detection algorithm for custody services to identify discrepancies across products
  • Offered a full-time role (PPO)
ProgrammingTime Series AnalysisPython (Programming Language)Machine LearningQuantitative FinanceQuantitative Research

Jm financial ltd

Quantitative Risk Intern

May 2021Jul 2021 · 2 mos

  • Credit Risk
  • Constructed credit rating models to help firms from IMFL, microfinance and manufacturing sectors to raise up to INR 65 crore
  • Devised a rating system based on k-means clustering to measure an industry's cyclical risk; used in the analysis of 5+ firms

Birla institute of technology and science, pilani

Teaching Assistant - Econometrics

Jan 2021May 2021 · 4 mos

  • Tutored 90+ undergraduate students; prepared and evaluated tests and assignments

Indian school of business

Quantitative Research Intern - Trading and Finance

Dec 2020Jan 2021 · 1 mo · Hyderabad, Telangana, India

  • Built a macroeconomics based ML model to analyse the vote-share at the pin-code level for an Indian political organization
  • Executed and tested a volatility adjusted, exponentially regressed momentum strategy on 150+ Indian stocks
Time Series AnalysisEconometrics

Frontier tower associates

Investment Analyst Intern

May 2020Jun 2020 · 1 mo · Manila, National Capital Region, Philippines

  • Designed financial models to assist the acquisition of 150+ towers valued at USD 10 mn+ from an Indonesian telecom platform
  • Performed in-depth macroeconomic and industry analysis; identified 3 potential investment opportunities in the SE Asian market
Python (Programming Language)Quantitative Research

Csir-ceeri

Research Intern - Deep Learning

May 2019Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

  • Implemented state-of-the-art deep learning techniques to calculate the relative distance between objects in a 2D picture
  • Used a combination of loss functions to obtain images with sharper boundaries, achieving an absolute relative error of 0.131

Education

University of California, Berkeley

Master of Financial Engineering

Mar 2024Mar 2025

University of California, Berkeley, Haas School of Business

Master of Financial Engineering — Financial Mathematics

Mar 2024Mar 2025

Birla Institute of Technology and Science, Pilani

B.E. Computer Science and M.Sc Economics

Aug 2017Jul 2022

The Cathedral and John Connon School

10th ICSE

Jun 2015Present

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