D

Divyansh Srivastava

CEO

New York City, New York, United States5 yrs 6 mos experience
Highly Stable

Key Highlights

  • Expert in Equity Derivatives with extensive financial services experience.
  • Proven track record in developing systematic investment strategies.
  • Strong analytical skills with advanced proficiency in Python and Excel.
Stackforce AI infers this person is a Fintech expert specializing in equity derivatives and quantitative strategies.

Contact

Skills

Other Skills

Machine LearningMatlabDerivativesTennisFinance

About

Experienced Professional with a demonstrated history of working in the financial services industry. Skilled in Equity Derivatives, Probability, Python, Microsoft Excel, and Financial Analysis. Strong business development professional with a Master of Finance focused in Finance from Massachusetts Institute of Technology - Sloan School of Management, combined with an Analytical acumen developed at Indian Institute of Technology Delhi.

Experience

5 yrs 6 mos
Total Experience
2 yrs 6 mos
Average Tenure
4 mos
Current Experience

Morgan stanley

Executive Director

Jan 2026Present · 4 mos · New York, United States · On-site

  • Systematic Strategies in Insurance Annuities, Structured Notes, CDs, and ETFs (Retail QIS)

Credit suisse

2 roles

Vice President

Promoted

Dec 2021Oct 2023 · 1 yr 10 mos

Associate, Equity Derivatives Structuring

Jan 2020Dec 2021 · 1 yr 11 mos

  • Equity Derivatives Structuring

Deutsche bank

Analyst, Equity Derivatives

Aug 2018Jan 2020 · 1 yr 5 mos · New York, New York

  • Responsibilities across 2 teams: pricing Structured Products, and developing Quantitative Investment Strategies(QIS)
  • Structured Products: Using derivative pricing models to price Exotic payoffs including worst-of/best-of options, autocallable notes, Variance Knock-Out options, Accumulators, etc.
  • Working closely with Sales, Trading, & Treasury to understand nuances of trading structured products as notes and swaps
  • QIS: Assisting in developing, backtesting and maintaining Indices built on systematic equity derivatives strategies
  • Working closely with Derivatives Strats and Quant Research to implement these strategies on DB’s proprietary platforms

Wellington management

Joint Finance Research Practicum

Jan 2018Feb 2018 · 1 mo · Greater Boston

  • We researched a set of Technical Indicators to work with and improve upon the performance of existing momentum strategies.
  • We implemented the setup for DeMark indicators, Bollinger bands, Average Directional Index, Aroon Oscillator to be used with the Long, Medium and Short-windowed Moving Average Crossovers(MAC) individually, across asset classes.
  • We successfully identified top 3 indicators enhancing Sharpe and Hit Ratios for each MAC strategy for each asset class. We were also able to identify volatility regimes allowing best performance for the combination of indicators.

Deutsche bank

Summer Intern

May 2016Jul 2016 · 2 mos · Mumbai Metropolitan Region

  • At the Equity Structuring Desk at Deutsche, I built a new backtesting framework for option-writing strategies. Using the Black Scholes model to obtain implied volatility values from prices of listed options, I designed a tool to price all possible options using interpolation in the implied vol surface.
  • The framework was unique in that it used (public)data already available to clients, and the setup could be shared with clients to increase efficiency of structured product trades.
  • The framework was put in use by the London ESG Desk, and was expected to at least double the annual trade frequency. I received a return offer from Deutsche to work as a Financial Analyst.

University of sussex

Research Intern : Applications of Multi-Dimensional Discrete Fourier Transform in Signal Processing

May 2015Jul 2015 · 2 mos · Greater Brighton and Hove Area

  • I set up a framework to model image blurring and heat dissipation from a heated rod using convolution with a Gaussian filter, and analysed differing efficiencies with varying parameters of the filter.
  • I also explored the applications of Hankel Transform and Fourier-Mellin Registration Technique on MATLAB, in addition to studying image sampling in log(r)-theta domain. Sampling in this domain could lead to easy introduction of rotational invariance, finding applications in various image processing centric industries.

Education

MIT Sloan School of Management

Master of Finance — Finance

Jan 2017Jan 2018

Indian Institute of Technology, Delhi

Bachelor of Technology (B.Tech.) — Electrical Engineering

Jan 2013Jan 2017

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