Aayush Kumar

AI Researcher

Roorkee, Uttarakhand, India6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in quantitative finance and algorithmic trading.
Proficient in cloud applications and IoT solutions.
Strong background in statistical modeling and data analysis.

Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on quantitative analysis and cloud technologies.

Contact

aayush.kumar@aexp.com LinkedIn

Skills

Core Skills

Quantitative FinanceAlgorithmic TradingAutomated TradingTechnical ConsultationCloud Applications

Other Skills

APIAlgorithm DevelopmentAnalytical SkillsAnalyticsApplication Programming Interfaces (API)Artificial Intelligence (AI)Azure Stack EdgeBacktestingBloombergC++CommunicationCompetitive AnalysisComputer VisionConvolutional Neural Networks (CNN)Critical Thinking

Experience

6 mos

Total Experience

6 mos

Average Tenure

Current Experience

Greenland investment management

Quantitative Researcher

Sep 2024 – Mar 2025 · 6 mos · Mumbai, Maharashtra, India · On-site

Improved predictive power of statistical arbitrage strategies by developing trading signals for the COMEX-SHFE Silver spread based on pricing and inventory analysis.
Enhanced backtesting realism for Gold spreads by simulating mean reversion with an Ornstein-Uhlenbeck process and incorporating a Markov Chain model for volatility regime shifts.
Built an automated data pipeline to fetch rich-chain contract data from LSEG's API, ensuring seamless market data integration.
Mapped LSEG configurations to Bloomberg-compatible infrastructure to streamline data handling and optimize execution workflows.

Statistical ConceptsMarket AnalysisAutomated TradingData ModelingAlgorithm DevelopmentQuantitative Finance+1

Pwc india

Technical Consultant

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

Contributed to the development and deployment of an Azure Stack Edge compliant video processing module. Key responsibilities included creating and configuring virtual machines (VMs), establishing IoT Edge device identities, and implementing the ANPR module. Assisted in packaging and deploying the solution, gaining hands-on experience in IoT Edge technology and enhancing skills in virtualization, Linux, and IoT solutions.

Azure Stack EdgeIoT SolutionsVirtual MachinesLinuxTechnical ConsultationCloud Applications