12 Quantitative Trading Jobs

As a Senior Trader at iRage, you will have the opportunity to work on solving challenging engineering problems and contribute to shaping the future of the fast-paced Algo-Trading industry. You will collaborate with exceptional programmers, quants, and traders to drive innovation and success in the field. **Key Responsibilities:** - Designing new quantitative trading strategies. - Enhancing existing quantitative trading strategies. - Analyzing the performance of deployed strategies. - Enhancing or building trading analytical tools. **Qualifications Required:** - 2+ years of experience in quantitative trading. - Experience in successfully implementing profitable trading strategies, from ideati...

As an Intern Financial Market Analyst (Quantitative Mathematics) at our location in Jaipur, India, you will be responsible for Strategy Ideation & Prototyping. Your role involves formulating quantitative trading hypotheses based on mathematical constructs such as time-series patterns, stochastic processes, statistical arbitrage, and volatility-based signals. Utilize tools from probability theory, linear algebra, calculus, or signal processing to design rule-based models that respond to market conditions. Explore ideas inspired by physical systems such as mean-reverting dynamics (harmonic oscillators), momentum (inertia), and diffusion, and adapt them into simplified trading signals. Convert ...

You will be joining a team of highly experienced Quant Traders and Systems professionals with graduate and postgraduate degrees from renowned institutions in India, China, and the US such as IITs, MIT, Princeton, Columbia, Cornell, and USC. Collectively, the team boasts over 100 years of expertise in trading and investment. As part of our team, you will contribute to the establishment of a cutting-edge quant hedge fund that specializes in High-Frequency Trading (HFT) and Statistical Arbitrage (StatArb) strategies across various asset classes including equities, commodities, currencies, and other electronically tradable instruments on a global scale encompassing the US, BRICS nations, and Eur...

As a Quantitative Research Analyst specializing in Deep Learning at MarkeTopper Securities, you will have the opportunity to collaborate with experienced quantitative analysts to conduct in-depth financial market analysis and develop cutting-edge trading algorithms. Your role will involve analyzing complex datasets to identify patterns and trends, optimizing algorithms for efficiency and accuracy, and contributing to technical documentation. Additionally, you will work closely with software engineers to implement trading models for deployment in live markets. To excel in this role, you should have proven experience in solving complex problems using deep learning and a strong proficiency in t...

AlphaGrep is a quantitative trading and investment firm established in 2010. The company holds a prominent position in trading volume on Indian exchanges and also has a notable market share on various large global exchanges. Our methodology revolves around a structured and systematic quantitative approach to pinpoint factors that consistently produce alpha. These identified factors are integrated with our exclusive ultra-low latency trading systems and strong risk management practices to create trading strategies spanning across different asset classes such as equities, commodities, currencies, and fixed income. Our strategies are designed to operate on global exchanges, ensuring a comprehen...

As an exceptional quantitative trader with a proven track record of success, you are sought after for a rare opportunity in the field of High-Frequency Trading (HFT) in Bangalore, India. This role requires individuals with strategic expertise and algorithmic prowess to thrive in a fast-paced and intellectually rigorous environment. Your professional journey should showcase a career focused on applying advanced quantitative models to solve real-world trading problems. From model development to full-cycle strategy execution, your evolution should demonstrate an ability to adapt to changing market dynamics and excel in new trading environments and asset classes. Your projects and performance hi...

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 an...

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 hi...

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 w...

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...

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 (peda...

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 p...