Nayan Nirvikar

Product Manager

Pune, Maharashtra, India4 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in algorithmic trading strategies and risk management.
Proficient in quantitative analysis and machine learning.
Strong background in developing trading applications.

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

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Skills

Core Skills

Algorithm DevelopmentQuantitative AnalyticsMachine Learning

Other Skills

Algorithmic TradingAmazon Web Services (AWS)Application EngineeringBack Testing on cloud platformsBack-testingC++Cloud ComputingData outsourcingDatabase Management System (DBMS)Deploying ML modelsDerivatives TradingDeveloped Various Indicator and StrategiesDeveloping and Backtesting Trading StrategiesDevelopment of ML and DL algorithmsEquity Trading

About

Result Driven professional with 2.5 years of experience leverage extensive expertise as a Quantitative Analyst & Developer specialising in Equity, Derivatives and Fixed Income Markets, driving innovative algorithmic trading strategies and robust risk management solutions. Committed to enhancing decision-making and profitability within the financial services sector by applying advanced quantitative analysis and technology.

Experience

Futures first

2 roles

Quant Analyst

Jul 2023 – Present · 2 yrs 8 mos · Gurugram, Haryana, India · On-site

Position & Order Management Applications Development: Delivered & launched advanced Position and Order Management applications tailored for the US and Brazil Fixed Income markets, ensuring seamless trading operations across regions.
Trading Strategy Research and Deployment: Researched, constructed, backtested, and deployed statistically driven trading strategies for US Futures, leveraging data analysis and quantitative modeling for optimised performance.
High-Performance Trading Application Engineering: Designed and implemented low-latency, high-throughput, and reliable trading applications focused on maximizing execution speed and system robustness.
Risk Management System Development: Created and integrated resilient risk management frameworks to mitigate exposure and reinforce the stability and reliability of trading strategies in dynamic market conditions.

Position & Order Management Applications DevelopmentTrading Strategy Research and DeploymentHigh-Performance Trading Application EngineeringRisk Management System DevelopmentAlgorithm DevelopmentQuantitative Analytics

Quant Analyst Intern

Feb 2023 – Jul 2023 · 5 mos · Gurugram, Haryana, India · On-site

Alpha alternatives

Algorithmic Trading Developer Intern

Feb 2022 – Jun 2022 · 4 mos · Mumbai, Maharashtra, India

1. Developing and Backtesting Trading Strategies on MCX Markets
2. Using Python and Other modules for Back-testing
3. Mainly Focussing on MCX Crude Strategies

Developing and Backtesting Trading StrategiesUsing Python for Back-testingAlgorithm Development

Platinum capital co.

Junior Algorithmic Trading Developer

Nov 2021 – Jan 2022 · 2 mos · Kuwait

1. Worked on Ninjatrader 8 and Fibonacci Trader Platform.
2. Developed Various Indicator and Strategies on these Platforms
3. Done Optimization and Backtesting of Various Strategies on US Financial Markets.

Worked on Ninjatrader 8Developed Various Indicator and StrategiesOptimization and BacktestingAlgorithm Development

Self employed

Algorithmic Trader and Quantitative Developer

Oct 2021 – Present · 4 yrs 5 mos

Phoenixgen systems

Software Intern

Jun 2021 – Jul 2021 · 1 mo · Pune, Maharashtra, India

1. Development of ML and DL algorithm for predictive analysis of stock price action on a real time basis.
2. Data outsourcing from technical as well as fundamental stock analysis sources, deduction of key business insights.
3. Deploying ML models and Deep neural networks in python development environment.
4. Back Testing on cloud machine-learning platforms on a real time basis.
5. Trading Strategy Formulation

Development of ML and DL algorithmsData outsourcingDeploying ML modelsBack Testing on cloud platformsMachine Learning