Utsav Naha

Operations Associate

Bangalore Urban, Karnataka, India7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing high-frequency trading strategies.
Strong background in quantitative finance and data analysis.
Proven track record in optimizing trading performance.

Stackforce AI infers this person is a Fintech expert specializing in quantitative analysis and trading strategies.

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Skills

Core Skills

Quantitative FinanceQuantitative Analytics

Other Skills

C++Regression AnalysisBacktestingRAlpha GenerationLow Latency TradingData AnalysisProgramming

About

Experienced Quantitative Analyst with a demonstrated history of working in the financial services industry. Skilled in Data Analysis, R, Programming, C++, and Quantitative Finance. Strong research professional with a Bachelor of Technology (B.Tech.) focused in Electrical Engineering from Indian Institute of Technology, Delhi.

Experience

7 yrs 9 mos

Total Experience

3 yrs 10 mos

Average Tenure

5 yrs 4 mos

Current Experience

Goldman sachs

Associate

Jan 2021 – Present · 5 yrs 4 mos · Bengaluru, Karnataka, India

Quadeye

Quantitative Analyst

Jun 2017 – Nov 2019 · 2 yrs 5 mos · Gurgaon, India

Developed and optimised ultra low latency strategies in C++ for Commodities Futures to trade in High Frequency Space. Analysed market signals and trends to identify suitable correlated instruments; Used regression analysis to determine alphas and expected returns to make functioning strategies. Monitored the strategy performances and parameters using backtesting, simulations and scripts in R.

C++Regression AnalysisBacktestingRQuantitative FinanceQuantitative Analytics

Ibm

Research Intern

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

Researched upon Discrete Event Simulation (DES) Models to design a modelling paradigm which simulates changes in complex processes in discrete events for crowd modelling and prediction of their movements