6 Quantitative Trading Jobs

The Tech Lead Quantitative Trading position in Chennai, India requires a candidate with over 7 years of experience to undertake various key responsibilities. You will be responsible for designing and optimizing scalable backend systems using Python and C++, overseeing the deployment of real-time trading algorithms, managing cloud infrastructure, CI/CD pipelines, and API integrations, as well as leading and mentoring a high-performing engineering team. Additionally, you will play a crucial role in laying the foundation for AI-driven trading innovations. Your role demands strong leadership, software architecture expertise, and hands-on problem-solving skills to ensure the seamless execution and scalability of trading systems. As part of your responsibilities, you will lead the end-to-end development of the trading platform, ensuring scalability, security, and high availability. You will also architect and optimize backend infrastructure for real-time algorithmic trading and large-scale data processing, design and implement deployment pipelines and CI/CD workflows for efficient code integration, and introduce best practices for performance tuning, system reliability, and security. In the realm of backend and data engineering, you will own the Python-based backend, work on low-latency system design to support algorithmic trading strategies, optimize storage solutions for handling large-scale financial data, and implement API-driven architectures leveraging WebSocket API and RESTful API knowledge to integrate with brokers, third-party data sources, and trading systems. Furthermore, you will be responsible for monitoring and troubleshooting live trading systems to minimize downtime, handling broker communication during execution issues and API failures, setting up automated monitoring, logging, and alerting for production stability, leading, mentoring, and scaling a distributed engineering team, defining tasks, setting deadlines, and managing workflow using Zoho Projects, aligning team objectives with OKRs, driving execution, fostering a strong engineering culture, ensuring high performance and technical excellence, managing cloud infrastructure to ensure high availability, setting up monitoring, logging, and automated alerting for production stability, overseeing GitLab repositories, enforcing best practices for version control, and implementing robust CI/CD pipelines to accelerate deployment cycles. While preferred qualifications include 7+ years of hands-on experience in backend development with expertise in Python, proven experience leading engineering teams and delivering complex projects, strong knowledge of distributed systems, real-time data processing, and cloud computing, experience with DevOps, CI/CD, and containerized environments, familiarity with GitLab, AWS, and Linux-based cloud infrastructure, and bonus knowledge of quantitative trading, financial markets, or algorithmic trading. The ideal candidate for this position is a backend expert with a passion for building scalable, high-performance systems, enjoys leading teams, mentoring engineers, fostering a strong engineering culture, can balance hands-on coding with high-level architecture and leadership, thrives in a fast-paced, data-driven environment, and loves solving complex technical challenges.,

The Tech Lead Quantitative Trading role in Chennai, India demands a seasoned professional with over 7 years of experience to take charge of designing and optimizing scalable backend systems using Python and C++. Your primary responsibilities will include overseeing the deployment of real-time trading algorithms, managing cloud infrastructure, CI/CD pipelines, and API integrations, as well as leading and mentoring a high-performing engineering team. Furthermore, you will be instrumental in laying the groundwork for AI-driven trading innovations. As a technical leader, you will be responsible for driving the end-to-end development of the trading platform, ensuring scalability, security, and high availability. You will design and optimize backend infrastructure for real-time algorithmic trading and large-scale data processing, implement deployment pipelines and CI/CD workflows, and introduce best practices for performance tuning, system reliability, and security. In the realm of backend and data engineering, you will own the Python-based backend to ensure efficient real-time data processing, work on low-latency system design to support algorithmic trading strategies, optimize storage solutions for handling large-scale financial data, and implement API-driven architectures leveraging WebSocket API & RESTful API knowledge. During live trading and incident management, you will monitor and troubleshoot live trading systems to minimize downtime, handle broker communication during execution issues and API failures, and set up automated monitoring, logging, and alerting for production stability. Your role will also entail team and project management, where you will lead, mentor, and scale a distributed engineering team, define tasks, set deadlines, and manage workflow using Zoho Projects, align team objectives with OKRs, and foster a strong engineering culture to ensure high performance and technical excellence. Additionally, you will be responsible for DevOps & Cloud Deployment, where you will manage cloud infrastructure, set up monitoring, logging, and automated alerting for production stability, oversee GitLab repositories, and implement robust CI/CD pipelines to accelerate deployment cycles. Preferred qualifications for this position include 7+ years of hands-on experience in backend development with expertise in Python, proven experience in leading engineering teams and delivering complex projects, strong knowledge of distributed systems, real-time data processing, and cloud computing, experience with DevOps, CI/CD, and containerized environments, familiarity with GitLab, AWS, and Linux-based cloud infrastructure, and knowledge in quantitative trading, financial markets, or algorithmic trading is a bonus. If you are a backend expert with a passion for building scalable, high-performance systems, enjoy leading teams and fostering a strong engineering culture, can balance hands-on coding with high-level architecture and leadership, thrive in a fast-paced, data-driven environment, and love solving complex technical challenges, then this role is for you. Join us and enjoy our perks!,

Role Summary: QI seeks to hire suitable candidates to be a part of the EPAT Content team. About the team and its role in QI: The EPAT Content team has former bankers, programmers, and academics who worked in financial firms, universities, and tech companies. We have educational backgrounds in engineering, electronics, economics, and finance. The common thread stringing all of us is an obsessive curiosity to learn more about quantitative finance. We are responsible for the technical content and maintaining the quality of lectures delivered by top professionals worldwide in the EPAT (a six-month course conducted over weekends. You can check more about the course elsewhere on the website). We want to hear from you if you're interested in and excited to be part of a growing firm. Responsibilities: - Create content and conduct lectures, courses, and workshops for financial and educational institutions in India and abroad - Assist in the resolution of doubts and queries faced by students in lectures on quant finance - Enhance the content and delivery (pedagogy) of existing lectures - Write technical blogs on different aspects of quant trading - Supervise/evaluate the assignments and issues faced by course participants - Resolve queries on topics about statistics, machine learning, econometrics, Python, and other facets of quant trading - Contribute to research in the domain via writing and reviewing articles, manuscripts, and books connected to quant finance Qualifications and other aspects (The points in italics are prerequisites. Please do not apply if you don't satisfy them.) - 4-6 years of full-time work experience (industry experience is necessary) - Completed a Doctorate or Master's in engineering, statistics, computer science, finance, or other quantitative fields from a reputed university - Experience in knowledge delivery would be highly preferred - Expertise in the data science stack of at least one of Python and R (Python preferred) - Good grasp of math, statistics, and machine learning (in the context of financial markets) - Excellent writing, and speaking skills - Extensive knowledge of trading in the financial markets - Knowledge of financial instruments across asset classes - Ability to learn and digest new technical ideas/tools and implement them - Ability to work on multiple tasks and prioritize - Work over some weekends to take lectures or provide assistance to faculty during EPAT lectures (You will be eligible for compensatory offs that can be availed during weekdays)

QI seeks to hire suitable candidates to be a part of the EPAT Content team. About the team and its role in QI: - The EPAT Content team has former bankers, programmers, and academics who worked in financial firms, universities, and tech companies. We have educational backgrounds in engineering, electronics, economics, and finance. The common thread that strings all of us is an obsessive curiosity to learn more about quantitative finance. - We are responsible for the technical content and maintaining the quality of lectures delivered by top professionals worldwide in the EPAT (a six-month course conducted over weekends. You can check more about the course elsewhere on the website. - We want to hear from you if you're interested in and excited to be part of a growing firm. Responsibilities: - Create content and conduct lectures, courses, and workshops for financial and educational institutions in India and abroad - Assist in the resolution of doubts and queries faced by students in lectures on quant finance - Enhance the content and delivery (pedagogy) of existing lectures - Write technical blogs on different aspects of quant trading - Supervise/evaluate the assignments and issues faced by course participants - Resolve queries on topics about statistics, machine learning, econometrics, Python, and other facets of quant trading - Contribute to research in the domain via writing and reviewing articles, manuscripts, and books connected to quant finance Qualifications and other aspects - 4-6 years of full-time work experience (industry experience is necessary) - Completed a Doctorate or Master's in engineering, statistics, computer science, finance, or other quantitative fields from a reputed university - Experience in knowledge delivery would be highly preferred - Expertise in the data science stack of at least one of Python and R (Python preferred) - Good grasp of math, statistics, and machine learning (in the context of financial markets) - Excellent writing and speaking skills - Extensive knowledge of trading in the financial markets - Knowledge of financial instruments across asset classes - Ability to learn and digest new technical ideas/tools and implement them - Ability to work on multiple tasks and prioritise - Work over some weekends to take lectures or provide assistance to faculty during EPAT lectures (You will be eligible for compensatory offs that can be availed during weekdays)

Position Summary: QuantInsti is seeking to hire qualified candidates for a full time position in content development and delivery in Algorithmic & Quantitative Trading. Responsibilities: - Research on quant trading strategies involving but not limited to machine learning, NLP, application of statistics and econometrics. - Developing content for online self paced courses related to Algorithmic and Quantitative trading. - Get involved in the complete value chain of the course, right from ideation to execution. - Creating and backtesting quantitative trading strategies and models - Research on the best practices in online content creation and delivery. - Enhancing the content and delivery (pedagogy) for the existing course(s). - Writing technical blogs for the benefit of quantitative trading enthusiasts. Education: Degree in Finance, Mathematics, Physics, Statistics, Computer Science or Engineering. Location: Remote (Global) Requirements: - Excellent grasp on trading in financial experience - Exposure to Machine Learning - Exposure to any form of code development is an added advantage - Knowledge of Python language - Strong analytical and quantitative background - Good communication skills and team player Other Aspects / Skills: - Creative and analytical mind. - High attention to detail and accuracy. - Ability to work under pressure and deadlines. - Ability to work on multiple projects at a given time.

Job Description: - Developing models: Building and improving mathematical models for trading, forecasting, or data processing - Conducting research: Analyzing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions - Back testing: Testing and implementing trading models and signals in a live trading environment - Creating reports: Summarizing findings and insights in detailed documents or presentations for non-technical stakeholders - Using unconventional data: Using unconventional data sources to drive innovation - Translating algorithms: Translating algorithms into code - Managing portfolios: Managing and fine-tuning investment portfolios to maximize returns while minimizing risks - Product Notes: Writing a detailed Product Note with all information including data to support the strategy - Pseudo Code: Capability to write Pseudo Code to test the strategy - Systems: Good understanding of the Trading Systems and trade execution process to limit latency and slippages Investment Management: - Oversee the development and implementation of investment strategies and asset allocation models. - Monitor market trends and economic indicators to make informed investment decisions. - Ensure adherence to the firm's investment policies and risk management guidelines. Compliance and Risk Management: - Ensure the firm's practices comply with SEBI regulations and other relevant legal requirements. - Conduct periodic audits and reviews to maintain high standards of regulatory compliance. - Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: - Bachelor's degree in finance, economics, business administration, or a related field; advanced degrees (MBA, CFA, CFP) preferred. - Relevant experience in mathematics, statistics, computer science, or finance preferred - NISM Series XV and Series X A&B certification - Minimum of 5-10 years of experience in building technical trading and Quantitative Strategies - Deep knowledge of SEBI regulations and compliance requirements. - Proven ability to develop and execute strategic initiatives. - High ethical standards and a commitment to acting in clients' best interests