Raghav Mehra

Co-Founder

Madrid, Community of Madrid, Spain3 yrs 11 mos experience
Highly Stable

Key Highlights

  • CFA L1 certified with 4 years in fintech.
  • Managed OMM trading desks generating €5000 monthly profit.
  • Developed quantitative strategies improving trading efficiency.
Stackforce AI infers this person is a Fintech professional with strong quantitative trading and financial analysis expertise.

Contact

Skills

Core Skills

Derivatives TradingRisk ManagementFinancial ModellingPython

Other Skills

Agile MethodologiesAgile Project ManagementBloombergBudgetingC++Capital Market OperationsData AnalysisDatabase AdministrationEconomicsEnvironmental, Social, and Governance (ESG)FinTechFinanceFinancial AccountingFinancial AnalysisFinancial Economics

About

CFA L1 certified quantitative analyst with 4 years of experience in fintech, algorithmic trading and capital markets. Proven record in wealth management and utilising financial analysis in trading equity derivatives. Adept leveraging technology and blending data analysis and communication skills to achieve sales and business development KPIs. Managing OMM trading desks for HFT companies generating an average monthly profit of €5000, 35% on capital, on 150 futures and options (F&O) contracts. Strong problem-solving and financial modelling skills with hands-on experience in asset management. As an economics graduate with experience of working in finance, my career has been dedicated to formulate and operate strategies that aim at building wealth with prudent risk management. My journey in quantitative trading and finance has seen me work in-tandem with top management and operations team in a HFT startup called Wallsoft Labs as well as work in the quantitative trading desk of a top Indian brokerage firm, SMC Global Equities, operating their complex algorithmic strategies. Having recently completed the International MBA program at IE Business School, with a concentration in Finance and Investments, I have bolstered my business acumen and enhanced management expertise to complement my skill set in finance. My leadership roles as the Students' Careers Representative of IE and the President of IE Fintech Club have reflected my dedication to fostering collaborative environment and driving innovation in financial sector. My lab work with Microsoft to design tech solutions for data-driven farming in Agri-tech enabled me to gauge fresh perspectives in sustainability. With technical proficiency in Python programming and Tableau, practical experience in operating Linux OS and Bloomberg terminal, and a deep understanding of Financial Modelling and Fundamental & Technical Analysis tools in trading and investment, I strive to have a data-driven approach to problem-solving and decision-making. Currently working as a freelance ghostwriter, I cofounded 'Cash & Cache' where I write on breakthroughs in AI tools and automation technologies that shape our workflows and transform how we build, pay and invest. My newsletter aims to not only educate my community on emerging tech and AI tools but also help them add unfair competitive advantages at work. Fluent in English, Hindi, Bengali and a growing proficiency with an A2-level certification in Spanish, I embrace the multicultural work environment and enjoy leveraging my diverse background for collective growth.

Experience

Smc group

Quantitative Trader

Apr 2022Feb 2023 · 10 mos · New Delhi, Delhi, India · On-site

  • Operated complex algorithms to trade futures and options contracts of companies listed in the Indian stock markets for the sole quantitative trading desk of SMC Global Securities in India.
  • Administered SMC’s proprietary capital and deploying company funds into the markets, creating option trading strategies to generate the highest returns on the capital employed.
  • Ran a portfolio of 10-15 NSE symbols daily. Traded across multiple option chains, generating an average daily profit of 60% of fees per symbol.
  • Delivered an average profit of €5000 per month on a monthly average margin capital of €2000, with the trading desk averaging a monthly return of 35% on trading capital invested.
  • Risk management- employed 10 options trading techniques and strategies depending on market condition and opportunities to reduce maximum risk in any portfolio by 70-80%.
Derivatives TradingOptions StrategiesRisk ManagementFinancial AnalysisTrading

Wallsoft labs

Financial Analyst

Mar 2019Apr 2022 · 3 yrs 1 mo · Gurugram, Haryana, India · On-site

  • Developed complex quantitative strategies for stocks trading, utilizing in-house company architecture to optimize trading techniques and operate trading portfolios.
  • Overhauled financial models coded in C++ to improve the efficiency of the model in pricing options to be traded in the markets. As a result, daily trading costs were reduced by 50%.
  • Built codes in Python programming to analyse trading performance by comparing the actual trades with optimal trades. Reduced price discrepancies, leading to a 100 % increase in profit per trade.
  • Executed technical analysis tools for stocks selection. The company’s targeted stocks increased manifold from 5 to 15 stocks traded daily simultaneously.
  • On a proprietary capital of €1500 invested per month, the trading portfolio constituted an average monthly profit of €3000 with the average return on capital employed accounting to 30% on a monthly basis.
  • Mastered command tools in Linux for all post-market work and scripts simulations.
Financial ModellingPythonTechnical AnalysisC++Linux

Teamskills pvt. ltd.

Business Development Executive

May 2017Jun 2017 · 1 mo · Kolkata, India

Daulat securities ltd.

Investment Analyst

Apr 2017May 2017 · 1 mo · Kolkata Area, India

Education

IE Business School

Master of Business Administration - MBA — Finance

Aug 2023Dec 2024

Symbiosis School of Economics

Bachelor of Science - BS — Economics

Jan 2015Jan 2018

Stackforce found 100+ more professionals with Derivatives Trading & Risk Management

Explore similar profiles based on matching skills and experience