Rajan Goyal

AI Researcher

Delhi, India9 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and FX Derivatives.
Developed predictive models for trading strategies.
Strong background in quantitative finance.

Stackforce AI infers this person is a Fintech Quantitative Researcher with strong machine learning expertise.

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Skills

Core Skills

Machine LearningFx DerivativesQuantitative Finance

Other Skills

Deep LearningTensorFlowC++JavaCPythonAlgorithmsData StructuresSignal ProcessingOption Pricing ModelsMicrosoft OfficeLaTeXLinuxWindowsVisual Basic for Applications (VBA)

Experience

9 yrs 6 mos

Total Experience

3 yrs 2 mos

Average Tenure

6 yrs 11 mos

Current Experience

Graviton research capital llp

Quantitative Researcher

Jul 2019 – Present · 6 yrs 11 mos · Gurgaon, Haryana, India

Machine LearningDeep LearningTensorFlowFX DerivativesC++Java+6

Worldquant

Research Consultant

Feb 2019 – Jun 2019 · 4 mos

Indian institute of technology, delhi

3 roles

Teaching Assistant | Signals and Systems

Promoted

Jul 2018 – Dec 2018 · 5 mos

Student Mentor

Jul 2017 – Jun 2018 · 11 mos

Event Executive, Alumni Affairs and International Program

Jul 2016 – Jun 2017 · 11 mos

Deutsche bank

Global Markets Intern

May 2018 – Jul 2018 · 2 mos · Singapore, Hong Kong

Worked with FX Derivatives Trading Team in Singapore to develop machine learning model which can predict client buy/sell direction from their RFQ.
Worked with Equity Derivatives team in Hong Kong on the prediction of 'Restrike Factor' which captures volatility change along the skew for any change in the spot.

Machine LearningFX Derivatives

Auquan

Quant Strategist

Feb 2018 – May 2018 · 3 mos

Completed coursework on quantitative finance and created prediction models in python for stock prices. Designed, Optimized and back-tested LSTM driven Long Short Equity Strategy for stocks on NSE.

PythonQuantitative Finance