Nishit Agrawal

Business Analyst

Singapore, Singapore, Singapore9 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in quantitative research and algorithmic trading.
Proven track record in data analysis and machine learning.
Strong programming skills in R and C++.

Stackforce AI infers this person is a Quantitative Analyst with expertise in Fintech and algorithmic trading.

Contact

Skills

Core Skills

Quantitative ResearchAlgorithmic TradingProgrammingAlgorithm DevelopmentData AnalysisMachine Learning

Other Skills

Analytical SkillsC++DerivativesFinanceHigh Frequency TradingMarkov ChainsMatlabMicroprocessorsMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointMicrosoft WordPairs TradingProbabilityR

About

Quant | HFT | IIT Bombay

Experience

Graviton research capital llp

Quantitative Researcher

Nov 2018 – Present · 7 yrs 4 mos · Singapore

Quantitative ResearchAnalytical SkillsAlgorithmic TradingRC++SQL

Samsung electronics

Senior Software Engineer

Jul 2016 – Oct 2018 · 2 yrs 3 mos · Bengaluru Area, India

Worked on developing Samsung Mobile Keyboard on the engine side handling Auto-Correction and Suggestions. My work mainly involved studying user behaviour, implementation of new features and developing algorithms.
Earlier, worked on developing in house Auto-Correction module and improving Swipe input.

ProgrammingAlgorithm DevelopmentUser Behavior Analysis

American express

Intern

May 2015 – Jun 2015 · 1 mo · Gurgaon, India

Worked with GMS Decision Science Team and received a pre-placement offer at the end of the internship.
Project: Finding early warning indicators for Debit Balance at merchants
o Intensive case analysis of 30+ merchants using credit score and transaction level data to find outliers and indicators which can serve as warning for merchant delinquency
o Identified 8 discriminating trends in merchant data which can be used to identify debit balance (Bankruptcy, Intentional Non-delivery by merchant etc.) in future
o Implemented & tested these variables in a Machine learning model
o Impact: Increase in capture rate (Defaulters in top 50 bps) of model by 30%

Data AnalysisMachine LearningStatistical Analysis