289 Algorithmic Trading jobs in India
Quantitative trader
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Quantitative Trading (Paid) - Go Quant Technologies Inc.About UsGo Quant develops solutions that make life easier and more profitable for digital asset traders and researchers. We do so primarily by increasing transparency, boosting speed, and placing decisions in the hands of users.We currently offer two solutions: Go Market and Go Trade. Go Market is a subscription service that delivers low-latency digital asset data via Web Socket. Features include a unified querying language that allows users to easily bypass exchange-specific protocols to access data. Go Trade is a trade execution platform that allows clients to trade digital assets—using multiple interfaces (Rest API, UI, Web Socket, Redis, etc.) to rapidly interact and trade with cryptocurrency exchanges.Our infrastructure is built with performance, flexibility, and reliability in mind, leveraging technologies across Python, C++, and cloud-based systems.This is an exciting time for the Go Quant team as we onboard clients and rapidly build out our solutions to meet their needs.Job Description:We are looking for a Quantitative Trader with experience or a strong interest in trading, market microstructure, and quantitative methods. This role will offer hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.Quantitative Traders will work closely with other researchers, engineers, and product managers and report directly to the Head of Research. This is a great opportunity to gain practical experience in the fast-paced world of fintech and cryptocurrency trading.Responsibilities:Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.Develop and backtest algorithmic trading strategies using quantitative methods.Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.Create research reports and visualizations to communicate findings to stakeholders.Collaborate with engineers to integrate research into production trading systems.Support the development of risk management and portfolio optimization models.Success Factors:We are looking for passionate, motivated individuals who are eager to learn and grow within a dynamic startup environment. Here are a few attributes of a successful candidate:Curiosity and Resourcefulness: Go Quant is a startup where natural aptitude, individual capability, and resourcefulness thrive.Team Player: We believe in building strong, talented teams. As a Quantitative Trader, you'll have the opportunity to learn from those around you and contribute to a high-performing team.Integrity and Growth Mindset: We're looking for individuals who defend their positions with passion, but also maintain a bias toward ‘doing right’ rather than ‘being right.’Qualifications (not mandatory):Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Mathematics, Econometrics, Computational Finance, Physics).Strong foundation in mathematics, statistics, or econometrics (e.g., probability, linear algebra, calculus).Programming experience in Python, R, MATLAB, or related tools.Familiarity with cryptocurrency markets and trading concepts.Experience with data libraries such as pandas, numpy, scipy, and statistical modeling techniques.Interest in time series analysis and algorithmic trading strategies.Strong analytical and problem-solving skills.Clear communication and ability to present research findings effectively.How to Apply:If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand.You can apply via the platform where you found this job posting (e.g., ).Go Quant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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Algorithmic Trading Sales
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As the Business Owner for the Algo (API) Vertical, you will be responsible for overseeing integrations with third-party platforms, driving business growth initiatives, and ensuring seamless collaboration between internal teams. This role requires a deep understanding of derivatives as a product and experience in API-based business models.
Key Responsibilities:
- Integration Management: Oversee integrations with third-party platforms from a commercial standpoint, ensuring mutually beneficial partnerships and smooth execution.
- Business Growth & Strategy: Identify and execute growth initiatives to expand the Algo trading vertical, leveraging market trends and customer insights.
- Cross-functional Collaboration: Work closely with Product and Engineering teams to ensure seamless alignment and delivery of API-related requirements.
- Market Analysis: Stay updated with crypto and traditional finance markets, competitor strategies, and industry trends to drive innovation and maintain a competitive edge.
- Partnership Development: Build and maintain relationships with algo traders, hedge funds, and institutional clients to drive API adoption and liquidity growth.
- Performance Monitoring: Define KPIs and track the performance of the Algo vertical, optimizing strategies based on data-driven insights.
Requirements
- Strong understanding of derivatives trading and financial markets.
- Experience working with APIs, algo trading, and quantitative finance is preferred.
- Proven ability to drive business growth and execute strategic initiatives.
- Strong stakeholder management and collaboration skills, with the ability to work across teams.
- Excellent analytical and problem-solving skills with a data-driven mindset.
- Prior experience in crypto, fintech, or financial services is a plus.
Associate - Algorithmic Trading Research
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1. Conduct data analysis and in-depth research on financial instruments to identify potential investment opportunities.
2. Collaborate with the team to develop and optimize quantitative models used for trading strategies and market forecasting.
3. Monitor and evaluate the performance of existing trading strategies, providing insights for further refinement.
4. Contribute to risk management by participating in model stress testing and analyzing potential risk factors.
5. Utilize programming languages (e.g., Python, R) to conduct quantitative analysis and statistical modeling.
6. Prepare reports and presentations summarizing research findings, model performance, and risk assessments for stakeholders.
Other requirements
1. A degree in finance, economics, mathematics, statistics, computer science, or a related field.
2. Conceptual understanding of algorithmic trading.
3. Experience: Minimum of 1 year of trading experience in equities, options,s and futures.
4. Strong analytical and quantitative skills with a focus on data-driven decision-making.
5. Familiarity with financial markets and basic quantitative finance concepts.
6. Proficiency in programming languages such as Python or R for data analysis and model development.
7. Excellent communication and teamwork skills, with the ability to present complex findings.
8. Knowledge of statistical and quantitative techniques used in financial modeling.
9. Familiarity with data visualization tools (e.g., Tableau, Matplotlib) for presenting research insights.
10. Experience with financial databases and data sources.
1 1. A proactive, solution-oriented approach to problem-solving in a team setting.
12. NISM Series-VIII certification
Pay: ₹300,000.00 - ₹600,000.00 per year
Schedule:
- Monday to Friday
Supplemental Pay:
- Performance bonus
Ability to commute/relocate:
- Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (preferred)
**Experience**:
- future and options trading: 1 year (required)
License/Certification:
- NISM-VIII certificate (required)
Work Location: In person
Expected Start Date: 24/02/2025
Senior Quantitative Analyst - Algorithmic Trading
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Key responsibilities include researching and developing new trading algorithms, optimizing existing strategies, and conducting thorough performance analysis. You will collaborate with traders and portfolio managers to understand market dynamics and translate insights into actionable trading models. Experience with high-frequency trading (HFT) environments and related infrastructure is a significant advantage. You will also be involved in risk management, model validation, and ensuring compliance with regulatory requirements. The ideal candidate will possess a Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, with a minimum of 5 years of relevant experience in quantitative finance, preferably in algorithmic trading. Proficiency in programming languages like Python, C++, or R, and experience with financial data providers and trading platforms are essential. Strong knowledge of financial markets, derivatives, and statistical modeling techniques is required. Excellent problem-solving, analytical, and communication skills are paramount. Join our dynamic remote team and make a significant impact on our trading performance.
Senior Quantitative Analyst, Algorithmic Trading
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Key Responsibilities:
- Design, develop, and implement quantitative trading strategies for equities, fixed income, foreign exchange, and derivatives markets.
- Conduct rigorous backtesting and statistical analysis of trading algorithms to assess performance and identify areas for improvement.
- Collaborate closely with portfolio managers and traders to understand market dynamics and client needs.
- Develop and maintain high-frequency trading infrastructure, ensuring performance, reliability, and scalability.
- Utilize advanced programming languages (e.g., Python, C++, R) and data analysis tools to process large datasets and extract meaningful insights.
- Stay abreast of market trends, regulatory changes, and emerging technologies in quantitative finance.
- Research and explore new data sources and methodologies to enhance trading models.
- Perform risk analysis and implement risk management strategies for trading portfolios.
- Contribute to the continuous improvement of the firm's quantitative trading platform and methodologies.
- Mentor junior quantitative analysts and contribute to a culture of innovation and technical excellence.
Qualifications:
Master's or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Computer Science, or Physics.
Minimum of 5-8 years of experience in quantitative analysis, algorithmic trading, or a related quantitative finance role.
Proven experience in developing and implementing successful trading strategies.
Strong programming skills in Python and C++ are essential; experience with R or Kdb+/q is a plus.
Deep understanding of financial markets, instrument types, and trading mechanics.
Proficiency in statistical modeling, machine learning techniques, and time-series analysis.
Excellent analytical, problem-solving, and critical-thinking abilities.
Strong communication and collaboration skills, with the ability to explain complex concepts to both technical and non-technical audiences.
Experience with large-scale data processing and distributed computing frameworks.
Senior Quantitative Analyst - Algorithmic Trading
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Lead Quantitative Analyst - Algorithmic Trading
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Senior Quantitative Analyst - Algorithmic Trading
Posted today
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Responsibilities:
- Develop and implement quantitative trading strategies and algorithms.
- Analyze large financial datasets to identify trading opportunities.
- Conduct rigorous backtesting and performance evaluation of strategies.
- Optimize trading parameters for risk and return.
- Collaborate with traders and portfolio managers.
- Maintain and improve existing trading systems.
- Research and apply advanced statistical and machine learning techniques.
- Prepare technical documentation and presentations.
- Master's or Ph.D. in Financial Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Proven experience in quantitative finance or algorithmic trading.
- Expertise in Python, C++, or R.
- Strong knowledge of financial markets and instruments.
- Experience with time series analysis and machine learning.
- Excellent analytical and problem-solving skills.
- Ability to work independently and effectively in a remote setting.
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Senior Quantitative Analyst - Algorithmic Trading
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Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or statistical modeling.
- Expertise in programming languages such as Python, C++, R, and Java.
- Strong knowledge of machine learning, time series analysis, and statistical modeling.
- Experience with financial markets, trading strategies, and data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and effectively in a remote team environment.
- Experience with backtesting platforms and financial data providers.
Senior Quantitative Analyst - Algorithmic Trading
Posted today
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Responsibilities:
- Develop, test, and deploy quantitative trading algorithms and strategies for equities, futures, options, and FX markets.
- Conduct in-depth market research and data analysis to identify trading opportunities and patterns.
- Build and maintain robust backtesting frameworks and simulation environments.
- Collaborate with traders and portfolio managers to refine strategy performance and risk management.
- Implement and optimize trading models using statistical, machine learning, and econometrics techniques.
- Analyze trade execution performance and identify areas for improvement.
- Develop and maintain high-quality, production-ready code in languages such as Python, C++, or R.
- Manage large datasets, ensuring data integrity and efficient processing.
- Stay current with the latest advancements in quantitative finance, machine learning, and financial technology.
- Contribute to the team's research pipeline and generate innovative trading ideas.
- Assess and mitigate risks associated with algorithmic trading strategies.
- Communicate complex quantitative concepts and findings to both technical and non-technical stakeholders.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, Physics, or Economics.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or statistical arbitrage.
- Advanced proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, Pandas, SciPy, scikit-learn), C++, or R.
- Strong understanding of financial markets, asset classes, and trading strategies.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and order management systems.
- Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Proven ability to develop and validate complex quantitative models.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Experience with high-frequency trading (HFT) strategies is a plus.
- Familiarity with cloud computing platforms is advantageous.
Senior Quantitative Analyst - Algorithmic Trading
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Your Key Responsibilities:
- Design, develop, backtest, and implement quantitative trading strategies across various asset classes (equities, futures, options, FX).
- Conduct in-depth research into market microstructure, statistical arbitrage, and predictive modeling.
- Analyze large volumes of historical and real-time market data to identify trading opportunities and patterns.
- Develop and maintain high-frequency trading models, ensuring robustness and performance.
- Collaborate with portfolio managers and traders to refine strategies and implement new ideas.
- Build and optimize low-latency execution algorithms.
- Monitor and analyze the performance of live trading strategies, identifying areas for improvement.
- Develop and implement risk management frameworks for trading strategies.
- Utilize statistical and machine learning techniques to enhance model accuracy and predictive power.
- Stay current with financial market trends, technological advancements, and academic research in quantitative finance.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Ensure compliance with all relevant regulations and internal policies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
- Proven track record of developing and successfully deploying profitable trading strategies.
- Strong programming skills in languages such as Python, C++, or Java, with experience in data analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow).
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and trading execution mechanisms.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and low-latency data feeds.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to thrive in a fast-paced, highly collaborative, and remote work environment.
- Strong communication skills for presenting complex findings to diverse audiences.