Prakhar Prakash

Associate Consultant

Bengaluru, Karnataka, India3 yrs 4 mos experience

Key Highlights

Over 3 years of experience in quantitative trading.
Developed multiple algorithmic trading strategies.
Achieved significant increases in profitability and client satisfaction.

Stackforce AI infers this person is a Fintech professional with expertise in algorithmic trading and quantitative analysis.

Contact

Skills

Core Skills

Algorithmic TradingEquity Trading

Other Skills

Business Intelligence (BI)Client LiaisonData AnalysisEquitiesFinancial AnalysisFinancial ModelingInvestment BankingInvestment StrategiesManagementMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointOptionsOptions StrategiesPython (Programming Language)

About

I have completed my Postgraduate Diploma in Management in Finance from the S.P. Jain Institute of Management and Research, Mumbai. I have more than 3 years of work experience as a quantitative trader at SMC Global Securities Ltd., where I was responsible for designing, coding, back testing, and implementing algorithmic trading strategies. I have experience trading stock futures and derivatives instruments. I was also involved in client liaison work, where I coded and implemented trading strategies for external clients and ensured a smooth flow from idea generation to implementation. I'am a Business Economics graduate from University of Delhi. In my college I was part of the Finance Society where I interacted with like-minded individuals and conducted various competitions and fests which were attended by students from across colleges in University Of Delhi. I also have a Masters degree from the National University Of Singapore ( QS rank 8) where I learnt the nuances of Finance and Management In my free time I like listening music and reading

Experience

Infosys consulting

Consultant-FSI Practice

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India

Motilal oswal financial services ltd

YLP Intern

Sep 2024 – Oct 2024 · 1 mo · Mumbai, Maharashtra, India · On-site

Analyzed competitor benchmarks to enhance MOFSL's advisory platform, improving advisor productivity & client engagement
Proposed real-time call transmission & dynamic client mapping to optimize workflows, boosting efficiency & client satisfaction
Recommended strategic improvements to advisory processes, ensuring a more seamless and client-centric financial advisory experience

Smc group

3 roles

Quantitative Trader

Jan 2023 – Apr 2023 · 3 mos · New Delhi, Delhi, India · On-site

Part of the Quantitative Trading desk, responsible for developing and executing algorithmic trading strategies
Added 2 new strategies to the firm’s portfolio, leading to a 10% increase in overall trading profitability
Developed trading algorithms that surpassed benchmarks by 15%, boosting firm's profits in the first quarter.
Achieved a 15% rise in product adoption rates following targeted demonstrations to external stakeholders.
Achieved a 20% increase in performance and profitability over several years through refining algorithms
Achieved a 30% increase in customer satisfaction following modifications to strategies based on feedback
Boosted trading efficiency by 15% by adjusting strategy parameters, mitigating potential losses
Successfully implemented multiple trading software solutions, leading to a 25% increase in client adoption rate
Expanded firm’s technology and service capabilities by contributing to 4 new product offerings to the clients
Streamlined algorithm strategy process, cutting time from whiteboard to implementation by 20%.

Algorithmic TradingPython (Programming Language)Equity Trading

Quantitative Trader

Dec 2019 – Aug 2022 · 2 yrs 8 mos · New Delhi Area, India · On-site

Part of the Quantitative Trading desk, responsible for developing and executing algorithmic trading strategies
Added 2 new strategies to the firm’s portfolio, leading to a 10% increase in overall trading profitability
Developed trading algorithms that surpassed benchmarks by 15%, boosting firm's profits in the first quarter.
Achieved a 15% rise in product adoption rates following targeted demonstrations to external stakeholders.
Achieved a 20% increase in performance and profitability over several years through refining algorithms
Achieved a 30% increase in customer satisfaction following modifications to strategies based on feedback
Boosted trading efficiency by 15% by adjusting strategy parameters, mitigating potential losses
Successfully implemented multiple trading software solutions, leading to a 25% increase in client adoption rate
Expanded firm’s technology and service capabilities by contributing to 4 new product offerings to the clients
Streamlined algorithm strategy process, cutting time from whiteboard to implementation by 20%.

Algorithmic TradingPython (Programming Language)Equity Trading

Quantitative Trading Intern

May 2019 – Jul 2019 · 2 mos · New Delhi Area, India

Was involved in trade idea generation and strategy backtesting using Python
Generated, backtested and produced results of 5 trading strategies based on various technical indicators
Received Pre Placement Offer for exceptional performance during the internship period

Python (Programming Language)

Indraprastha corridor advisory services private limited

Equity Trader intern

Jul 2018 – Dec 2018 · 5 mos · New Delhi Area, India · On-site

• Exceeded goals and generated consistent profits for the firm’s equities trading desk, contributing to overall portfolio growth and profitability

Mrps advisory services

Research Analyst

Jun 2017 – Jul 2017 · 1 mo · New Delhi Area, India

• Enhanced portfolio performance with customized financial advice, boosting client satisfaction and retention by 25%.

Karvy private wealth

Wealth Management Intern

Jun 2016 – Jul 2016 · 1 mo · New Delhi Area, India

Interned with the wealth managing department of Karva Private Wealth, a Wealth Management Firm in India
Conducted a study on Financial Planning and Portfolio Patterns of various customers