Ayush Surana

Consultant

Mumbai, Maharashtra, India7 yrs experience

Key Highlights

  • MSc Fintech graduate with strong analytical skills.
  • Over 3 years of experience in derivative trading.
  • Proficient in developing complex trading strategies.
Stackforce AI infers this person is a Fintech professional with expertise in quantitative analysis and trading strategies.

Contact

Skills

Core Skills

Data ScienceAlgorithm DevelopmentTradingMarket AnalysisLeadership

Other Skills

Analytical SkillsAnalyticsCommunicationData AnalysisData AnalyticsData VisualizationDecision-MakingDeep LearningDerivativesEquity DerivativesFinanceFinancial AnalysisFinancial MarketsFinancial ModelingFixed-Income Investing

About

A highly motivated MSc Fintech graduate with over 3 years of experience in derivative trading and hedging. I possess strong analytical skills and am adept at developing and implementing complex trading strategies, as well as identifying and managing risk. With a good understanding of financial markets and economic trends, gained through passing the CFA Level 2, I am well equipped to make informed decisions in fast-paced, high-pressure environments. I am currently looking to further develop my technical skills, such as Python and Machine Learning, through my Masters. I am eager to find roles where I can apply my knowledge of finance and technical skills to work with financial data and make a meaningful impact in the FinTech industry.

Experience

Blackrock

Quantitative Researcher

Sep 2025Present · 6 mos · Mumbai, Maharashtra, India

Morningstar

2 roles

Senior Quantitative Analyst

Promoted

Jan 2025Sep 2025 · 8 mos · Navi Mumbai, Maharashtra, India

Quantitative Analyst | New Product Development

Jan 2024Dec 2024 · 11 mos · Navi Mumbai, Maharashtra, India

Predictiva

Company Sponsored Dissertation

May 2023Aug 2023 · 3 mos · Edinburgh, Scotland, United Kingdom · Hybrid

  • Creating Synthetic Data for Financial Trading
  • Develop different algorithms/implementations for creating synthetic data for financial trading.
  • Use synthetic time series data to conduct counterfactual experiments for stress-testing of Predictiva's trading models.
  • Propose evaluation techniques to test whether the trading model has learnt better the dynamics of the underlying system, as a result of training with synthetic data.
  • Show how synthetic data could effectively help improve trading models and how they can enhance strategy backtesting.
Scikit-LearnProgrammingGitData ScienceAlgorithm Development

Futures first

Market Analyst

Jul 2018Sep 2021 · 3 yrs 2 mos · Jaipur, Rajasthan, India

  • Traded and managed a portfolio of futures contracts for crude oil and its refined products, achieving an average daily turnover of over 500 lots, with a best week yield of $16,000.
  • Conducted a comprehensive analysis of a significant volume of historical data, spanning from hourly to monthly intervals, to uncover patterns and trends that could inform strategic trading decisions.
  • Identified top 5 strategies out of 300+, to execute trade within 120 seconds by designing signal-based entry/exit automated excel models.
  • Designed a dashboard to incorporate 20+ variables track 300+ strategies across 5 products.
  • Employed statistical techniques such as regression and correlation to derive data-driven trading decisions.
  • Conducted extensive research and analysis of macroeconomic factors to identify potential trading opportunities. Also, closely monitored global developments and major risk events to stay informed of current conditions and potential impacts on the market.
  • Collaborated with the development team to design and build "Quanthub," a powerful tool used for analysing historical fundamental data, generating trading signals, and studying seasonality in commodity spreads trading.
DerivativesMicrosoft OfficeFixed-Income InvestingData AnalysisAnalyticsCommunication+15

Indian institute of management ahmedabad

Summer Internship

May 2017Jul 2017 · 2 mos · Ahmedabad Area, India

  • Conducted research on aggregate operators and enhanced them with discriminative features to improve their functionality.
  • Implemented the discriminative aggregate operators on a real-world case study to evaluate their effectiveness and gain practical insights.
CommunicationMicrosoft PowerPoint

Indian oil corp limited

Industrial Engineering Intern

Dec 2016Dec 2016 · 0 mo · Vadodara, Gujarat, India

  • Conducted an in-depth study of the Fluidized Catalytic Cracking (FCC) unit to gain a comprehensive understanding of the cracking mechanism of large oil molecules using powdered catalyst and the production of various priced hydrocarbons.
  • Analysed the operation of the Gujarat Hydrocracker unit to comprehend the cracking mechanism of Vacuum Gas Oil (VGO) and Hydrogen GAS.
Communication

Toppr

Mathematics Tutor

Aug 2016May 2017 · 9 mos · Guwahati Area, India

CommunicationProblem Solving

Technothlon

City Representative, Technothlon'15

Oct 2014Jul 2015 · 9 mos · Nagaur Area, India

  • Successfully organized and executed the first-ever Technothlon championship in Nagaur, with a participation of approximately 1000 students.
  • Actively promoted and encouraged student participation through various means and effectively collaborated with senior authorities of prominent schools to ensure a smooth and successful conduct of the event.
CommunicationLeadershipMicrosoft PowerPointDecision-MakingProblem SolvingTeamwork

Education

University of Edinburgh Business School

Master's degree

Sep 2022Sep 2023

Indian Institute of Technology, Guwahati

Bachelor’s Degree — Chemistry

Jul 2014May 2018

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