Senior Algorithm Engineer
Hellyeah AI
Senior Algorithm Engineer
Hellyeah AI
AI-driven growth engine for marketing teams
About Hellyeah AI
Hellyeah AI is building AI-powered solutions to help businesses make better decisions through advanced automation, data intelligence, and algorithmic systems.
We are looking for a Senior Quantitative Engineer / Algo Engineer to join our engineering team and build the next generation of quantitative strategy infrastructure. The ideal candidate has experience from top quantitative trading firms, hedge funds, or financial technology companies, with strong expertise in algorithm development, quantitative research infrastructure, and large-scale backtesting systems.
Responsibilities
Design, develop, and optimize quantitative trading strategies and algorithmic models
Build and maintain high-performance backtesting and simulation frameworks
Develop research infrastructure that enables rapid strategy iteration and validation
Collaborate with quantitative researchers to translate trading ideas into production-ready systems
Implement data pipelines, signal generation frameworks, and strategy evaluation tools
Improve the accuracy, scalability, and performance of simulation environments
Conduct strategy analysis, performance attribution, and model optimization
Ensure research results can be reliably transitioned into production systems
Requirements
5+ years of experience in quantitative development, algorithm engineering, or related fields
Experience working at leading quantitative trading firms, hedge funds, proprietary trading firms, or financial technology companies preferred
Strong experience building quantitative research platforms, backtesting engines, or trading infrastructure
Strong programming skills in Python and/or C++
Solid understanding of algorithmic trading, quantitative strategies, and financial data systems
Experience with large-scale time-series data processing and performance optimization
Strong problem-solving ability and engineering mindset
Preferred Qualifications
Experience with systematic trading strategies, factor models, or machine learning-based trading systems
Experience building low-latency or high-performance simulation systems
Background in mathematics, statistics, computer science, or related technical fields
Experience with market microstructure, execution models, or portfolio optimization
AI-driven growth engine for marketing teams
Hellyeah AI helps marketing teams grow faster by using autonomous digital workers, which are AI agents that can perform marketing tasks without constant human direction. The core idea is an AI-native growth engine: teams set goals and the autonomous workers handle campaigns, experiments, content generation, optimization, and data analysis to push growth. The product works by integrating AI agents into marketing workflows to automate repetitive tasks, test ideas, and adjust strategies based on performance data. Differences from competitors come from being built around autonomy and a marketing-centric AI team of agents, rather than just AI tools or generic automation. The goal is to empower marketing teams to scale their efforts efficiently, achieve faster outcomes, and spend less time on manual, repetitive work.
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