The Role
Develop and backtest quantitative trading models, analyze financial datasets, monitor live trading systems, and document research findings. Build agentic AI workflows and rapidly prototype research tools, trading applications, and data-driven systems using LLMs, coding agents, APIs, testing, version control, and cloud deployment. Apply advanced mathematics, statistics, investment strategy, and risk analysis to improve algorithmic trading performance.
Summary Generated by Built In
Job Overview
We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic team. This role involves developing and implementing quantitative models to identify trading opportunities in financial markets. The ideal candidate will possess strong research skills, a solid understanding of investment strategies, and expertise in risk analysis and mathematical modeling within the financial services sector. This position offers an exciting opportunity to contribute to innovative trading strategies and advance your career in quantitative finance.
Responsibilities
- Conduct rigorous research to develop quantitative models for trading strategies across various asset classes
- Analyze large datasets to identify patterns, trends, and potential investment opportunities
- Design, backtest, and optimize algorithmic trading models to improve performance and manage risk effectively
- Collaborate with team members to refine trading algorithms based on market conditions and new research findings
- Monitor live trading systems, ensuring models operate efficiently and accurately in real-time environments
- Stay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategies
- Document research processes, model assumptions, and performance metrics for ongoing review and improvement
- Design and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processes
- Rapidly prototype, build, and iterate on quantitative research tools, trading applications, and AI-driven systems, taking ideas from initial concepts to functional implementations
- Leverage AI coding agents, LLMs, and modern development frameworks to accelerate experimentation, engineering, testing, and deployment
Experience
- Proven experience in research within the financial services industry, particularly in investment banking or asset management
- Strong background in finance, with a focus on investment strategies, risk analysis, and quantitative modeling
- Proficiency in advanced mathematics, statistical analysis, and programming languages such as Python, R, or MATLAB
- Familiarity with financial markets, instruments, and trading platforms is highly desirable
- Demonstrated ability to analyze complex data sets and develop innovative solutions for investment challenges
- Prior experience in developing or implementing algorithmic trading systems is a plus
- Hands-on experience designing and orchestrating agentic workflows using LLMs, AI coding agents, tool integrations, and automated execution pipelines
- Demonstrated ability to rapidly prototype and build end-to-end software applications, research infrastructure, and data-driven products
- Experience with modern software development practices, including APIs, version control, testing, cloud deployment, and iterative product development
- Ability to independently translate abstract research ideas into working prototypes, production-ready tools, and scalable systems
This role is ideal for individuals passionate about applying quantitative methods to finance, eager to contribute to cutting-edge trading strategies, and committed to continuous learning within a fast-paced environment.
Skills Required
- Proven research experience in financial services, particularly investment banking or asset management
- Strong finance background focused on investment strategies, risk analysis, and quantitative modeling
- Proficiency in advanced mathematics and statistical analysis
- Programming proficiency in Python, R, or MATLAB
- Ability to analyze complex datasets and develop innovative investment solutions
- Hands-on experience designing and orchestrating agentic workflows using LLMs, AI coding agents, tool integrations, and automated execution pipelines
- Ability to rapidly prototype and build end-to-end software applications, research infrastructure, and data-driven products
- Experience with APIs, version control, testing, cloud deployment, and iterative product development
- Ability to translate abstract research ideas into working prototypes, production-ready tools, and scalable systems independently
- Familiarity with financial markets, financial instruments, and trading platforms
- Prior experience developing or implementing algorithmic trading systems
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The Company
What We Do
Z1 Tech is a technology-first company that aims to revolutionize digital content consumption experiences. Our quest started in 2015 to provide future-proof solutions to businesses and empower them in a technologically-dominated environment. Through collaborative efforts of more than 200 innovators spread over 4 countries, we have successfully created revolutionary brands like VDO.AI and Plunic. Our products and services stream over 5 petabytes of content, impacting 25 million people every day. We strive towards increasing our workforce, partners, and brand awareness by 3X every year.
